Pay
In line with similar jobs
$125K–$150K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Platform Engineer
Remote, United States
Live, first seen by us 84 days ago- Pay
USD 125,000–150,000/year — pay source
A high-impact role at the center of Greystar’s enterprise data transformation with access to cutting-edge tooling — Databricks, the full Azure stack, GitHub Enterprise, and an active AI innovation agenda. Competitive compensation, comprehensive benefits, flexible work arrangements, and a collaborative engineering culture focused on craft, automation, and continuous improvement. The salary range for this position is $125,000 - $150,000 USD Annually. Additional Compensation:
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote, United States
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAdminister Databricks workspaces, cluster policies, and Unity Catalog access and permissions
Tune Spark jobs for performance, reliability, and cost
Operate the Azure data services stack, including ADLS Gen2, Data Factory, Monitor and Key Vault
Build and maintain GitHub Enterprise CI/CD pipelines for promoting data workflows to production
Keep Dev, Staging and Production Databricks environments in configuration parity
From the employer’s posting
Own Databricks workspace administration: upgrades, cluster policies, compute configurations, and Delta table lifecycle management
Tune Spark jobs for performance, reliability, and cost
Operate the full Azure data services stack: ADLS Gen2, Azure Data Factory (ADF), Azure Monitor, Log Analytics, Key Vault, and Event Hub
Build and maintain CI/CD workflows using GitHub Enterprise: branch strategies, PR automation, environment-specific configuration management, and release gating
Own workspace configuration parity across Dev, Staging, and Production Databricks environments
What you’ll bring
All qualificationsCore experience
- Hands-on experience with ADF pipeline design and orchestration at scale
- Experience with Synapse Analytics, Cosmos DB, or Azure SQL Server in production data environments
- Python and/or SQL for automation scripts, compliance validation, and platform tooling
- Familiarity with Databricks Mosaic AI, Genie, or AI-native platform observability capabilities
- Knowledge of medallion / lakehouse architecture patterns and multi-environment deployment discipline
- Experience with ERP system integrations: Yardi, Entrata, or RealPage in multi-tenant environments
Qualification wording
Hands-on experience with ADF pipeline design and orchestration at scale
Experience with Synapse Analytics, Cosmos DB, or Azure SQL Server in production data environments
Python and/or SQL for automation scripts, compliance validation, and platform tooling
Familiarity with Databricks Mosaic AI, Genie, or AI-native platform observability capabilities
Knowledge of medallion / lakehouse architecture patterns and multi-environment deployment discipline
Experience with ERP system integrations: Yardi, Entrata, or RealPage in multi-tenant environments
Benefits in the posting
Full benefits wording- Additional Compensation:
- Corporate Positions: In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance.
- Onsite Property Positions: In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs.
- Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage.
- Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure.
- For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.
- 401(k) with Company Match up to 6% of pay after 6 months of service.
- Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).
- Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans.
- *Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority.
- Greystar will consider for employment qualified applicants with arrest and conviction records.
From the employer’s posting.
About Greystar Real Estate Partners
Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 13, 202684 days ago
- Recorded sightings
- 89
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 84
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Greystar Real Estate Partners’s usual: its jobs come down by about day 25.
From 11,035 similar postings that came down, and 11 of Greystar Real Estate Partners’s. Coming down is not always a hire.
Greystar Real Estate Partners is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Spark
- SQL Server
- Terraform
Where the posting names them
• Proven CI/CD experience using GitHub Enterprise: environment promotion, rollback, and release management for data pipelines • Python and/or SQL for automation scripts, compliance validation, and platform tooling • Knowledge of medallion / lakehouse architecture patterns and multi-environment deployment discipline
Greystar is seeking a Platform Engineer to join the Data team. This is a senior, deeply technical platform operations role responsible for the reliability, governance, and cost efficiency of Greystar’s enterprise data infrastructure — a Databricks-native medallion architecture (Bronze → Silver → Gold) running entirely on Microsoft Azure. You will work within the DataOps pod under the Analytics Engineering umbrella, owning Databricks workspace administration, Unity Catalog governance, Azure infrastructure operations, and multi-system platform support. This role is platform-engineering-heavy. Most of your day lives inside Databricks workspace administration and the full Azure data services stack: ADLS Gen2, Azure Data Factory, Azure Monitor, Key Vault, Log Analytics, and beyond. You will enforce platform standards, govern identity and access, optimize compute and storage spend, and provide platform support for EDP, DALDW, ADF, Synapse, Cosmos DB, and SQL Server. Deep mastery of Databricks administration and the Azure platform is a baseline expectation. JOB DESCRIPTION
• Provide platform support for various systems and platforms including access management, storage optimization, and compliance • Support additional platforms including ADF, Synapse Analytics, Cosmos DB, and Azure SQL Server • Manage storage allocation, cluster optimization, and resource provisioning across all supported platforms
Preferred • Experience with Synapse Analytics, Cosmos DB, or Azure SQL Server in production data environments • Familiarity with Databricks Mosaic AI, Genie, or AI-native platform observability capabilities
JOB DESCRIPTION SUMMARY Greystar is seeking a Platform Engineer to join the Data team. This is a senior, deeply technical platform operations role responsible for the reliability, governance, and cost efficiency of Greystar’s enterprise data infrastructure — a Databricks-native medallion architecture (Bronze → Silver → Gold) running entirely on Microsoft Azure. You will work within the DataOps pod under the Analytics Engineering umbrella, owning Databricks workspace administration, Unity Catalog governance, Azure infrastructure operations, and multi-system platform support. This role is platform-engineering-heavy. Most of your day lives inside Databricks workspace administration and the full Azure data services stack: ADLS Gen2, Azure Data Factory, Azure Monitor, Key Vault, Log Analytics, and beyond. You will enforce platform standards, govern identity and access, optimize compute and storage spend, and provide platform support for EDP, DALDW, ADF, Synapse, Cosmos DB, and SQL Server. Deep mastery of Databricks administration and the Azure platform is a baseline expectation.
• Leverage Databricks Mosaic AI and Genie to build AI-native DataOps capabilities including intelligent pipeline monitoring and anomaly detection Azure Infrastructure & Integration • Operate the full Azure data services stack: ADLS Gen2, Azure Data Factory (ADF), Azure Monitor, Log Analytics, Key Vault, and Event Hub
Azure Infrastructure & Integration • Operate the full Azure data services stack: ADLS Gen2, Azure Data Factory (ADF), Azure Monitor, Log Analytics, Key Vault, and Event Hub • Collaborate with Azure infrastructure and cloud engineering teams on networking, identity, security, and resource provisioning
• Operate the full Azure data services stack: ADLS Gen2, Azure Data Factory (ADF), Azure Monitor, Log Analytics, Key Vault, and Event Hub • Collaborate with Azure infrastructure and cloud engineering teams on networking, identity, security, and resource provisioning • Drive cost governance through Azure Cost Management, Databricks DBU optimization, and storage lifecycle policies
• Collaborate with Azure infrastructure and cloud engineering teams on networking, identity, security, and resource provisioning • Drive cost governance through Azure Cost Management, Databricks DBU optimization, and storage lifecycle policies Multi-Platform Support
Identity, Access & Governance • Manage Azure Active Directory (AAD) service principals, RBAC assignments, and Unity Catalog permission policies • Partner with the Data Governance team to enforce data contracts, ownership standards, and quality SLAs within Unity Catalog
• Define RTO and RPO targets for business-critical DMP data domains; test and validate recovery procedures on a recurring basis • Maintain business continuity plans aligned with Azure region failover capabilities and Greystar’s enterprise SLA commitments Qualifications:
• Expert-level Databricks administration: Unity Catalog, cluster policies, workspace management, compute configuration, and Delta Lake internals • Strong command of the Azure data services ecosystem: ADLS Gen2, ADF, Azure Monitor, Log Analytics, Key Vault, Cost Management, and Event Hub • Identity and access management: Azure Active Directory, service principals, RBAC, and Unity Catalog governance policies
• Strong command of the Azure data services ecosystem: ADLS Gen2, ADF, Azure Monitor, Log Analytics, Key Vault, Cost Management, and Event Hub • Identity and access management: Azure Active Directory, service principals, RBAC, and Unity Catalog governance policies • Hands-on experience with ADF pipeline design and orchestration at scale
• Knowledge of medallion / lakehouse architecture patterns and multi-environment deployment discipline • Terraform / Infrastructure-as-Code (IaC): provisioning and managing Databricks workspaces, Azure resources, Unity Catalog configurations, and environment-specific infrastructure through version-controlled IaC • Azure DevOps Pipelines: build and release pipeline configuration, YAML pipeline authoring, and integration with GitHub Enterprise for end-to-end deployment automation
• Terraform / Infrastructure-as-Code (IaC): provisioning and managing Databricks workspaces, Azure resources, Unity Catalog configurations, and environment-specific infrastructure through version-controlled IaC • Azure DevOps Pipelines: build and release pipeline configuration, YAML pipeline authoring, and integration with GitHub Enterprise for end-to-end deployment automation • Azure networking: VNet configuration, private endpoints for Databricks and ADLS Gen2, NSG rules, firewall policies, and DNS resolution for secure data platform connectivity
• Azure DevOps Pipelines: build and release pipeline configuration, YAML pipeline authoring, and integration with GitHub Enterprise for end-to-end deployment automation • Azure networking: VNet configuration, private endpoints for Databricks and ADLS Gen2, NSG rules, firewall policies, and DNS resolution for secure data platform connectivity • Azure Monitor & Log Analytics: KQL query authoring, alert rule configuration, diagnostic settings, workbook creation, and cluster event monitoring for proactive platform health management
• Azure networking: VNet configuration, private endpoints for Databricks and ADLS Gen2, NSG rules, firewall policies, and DNS resolution for secure data platform connectivity • Azure Monitor & Log Analytics: KQL query authoring, alert rule configuration, diagnostic settings, workbook creation, and cluster event monitoring for proactive platform health management • Delta Lake internals: VACUUM, OPTIMIZE, ZORDER, time travel, table statistics, and transaction log management for production-grade Delta table lifecycle governance
What We Offer A high-impact role at the center of Greystar’s enterprise data transformation with access to cutting-edge tooling — Databricks, the full Azure stack, GitHub Enterprise, and an active AI innovation agenda. Competitive compensation, comprehensive benefits, flexible work arrangements, and a collaborative engineering culture focused on craft, automation, and continuous improvement. The salary range for this position is $125,000 - $150,000 USD Annually.
JOB DESCRIPTION Databricks Platform Engineering & Administration • Own Databricks workspace administration: upgrades, cluster policies, compute configurations, and Delta table lifecycle management
Databricks Platform Engineering & Administration • Own Databricks workspace administration: upgrades, cluster policies, compute configurations, and Delta table lifecycle management • Administer Unity Catalog: access controls, service principal (SP), group, and user provisioning, governance policies, and data lineage
• Architect and enforce DMP platform standards: naming conventions, schema evolution policies, SLA tiers, and medallion layer contracts • Leverage Databricks Mosaic AI and Genie to build AI-native DataOps capabilities including intelligent pipeline monitoring and anomaly detection Azure Infrastructure & Integration
Environment Parity & Dev/Staging/Prod Management • Own workspace configuration parity across Dev, Staging, and Production Databricks environments — cluster policies, Unity Catalog hierarchy, access controls, and compute configurations • Define and enforce environment promotion hygiene: configuration drift detection, environment-specific secret management, and pre-production validation gates
• Architect and deploy self-healing pipeline capabilities — automated retry logic, circuit breakers, and remediation triggers — as production-grade platform features, not experiments • Integrate Databricks Mosaic AI and Genie into operational platform workflows for intelligent cluster management, anomaly detection, and natural language platform diagnostics • Contribute to Greystar’s 18-month agentic AI roadmap, leading near-term delivery of platform-level self-healing and proactive alerting capabilities
Disaster Recovery & Business Continuity • Design and maintain DR strategies for the DMP platform — including Delta table backup policies, ADLS Gen2 geo-redundancy configuration, and Databricks workspace recovery runbooks • Define RTO and RPO targets for business-critical DMP data domains; test and validate recovery procedures on a recurring basis
Required • 5+ years of platform engineering, infrastructure engineering, or data operations experience in a production environment • Expert-level Databricks administration: Unity Catalog, cluster policies, workspace management, compute configuration, and Delta Lake internals • Strong command of the Azure data services ecosystem: ADLS Gen2, ADF, Azure Monitor, Log Analytics, Key Vault, Cost Management, and Event Hub
• Experience with Synapse Analytics, Cosmos DB, or Azure SQL Server in production data environments • Familiarity with Databricks Mosaic AI, Genie, or AI-native platform observability capabilities • Background in data lineage tooling, metadata management, and Unity Catalog governance frameworks
Data Pipeline Architecture & Platform Standards • Own DMP pipeline architecture patterns from an infrastructure standpoint — Delta Live Tables (DLT) design standards, schema evolution enforcement, and medallion layer contracts • Define and enforce platform-wide naming conventions, partitioning strategies, Z-ordering policies, and Delta table optimization schedules (VACUUM, OPTIMIZE)
• Own DMP pipeline architecture patterns from an infrastructure standpoint — Delta Live Tables (DLT) design standards, schema evolution enforcement, and medallion layer contracts • Define and enforce platform-wide naming conventions, partitioning strategies, Z-ordering policies, and Delta table optimization schedules (VACUUM, OPTIMIZE) • Partner with analytics engineers to ensure pipeline designs conform to platform infrastructure standards, SLA tiers, and compute budget constraints
• Azure Monitor & Log Analytics: KQL query authoring, alert rule configuration, diagnostic settings, workbook creation, and cluster event monitoring for proactive platform health management • Delta Lake internals: VACUUM, OPTIMIZE, ZORDER, time travel, table statistics, and transaction log management for production-grade Delta table lifecycle governance Preferred
• Administer Unity Catalog: access controls, service principal (SP), group, and user provisioning, governance policies, and data lineage • Tune Spark jobs for performance, reliability, and cost — profiling bottlenecks, optimizing partitioning, managing Z-ordering, and controlling compute spend • Architect and enforce DMP platform standards: naming conventions, schema evolution policies, SLA tiers, and medallion layer contracts
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
ABOUT GREYSTAR
Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of real estate in more than 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally. Across its platforms, Greystar has nearly $79 billion of assets under management, including over $34 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit www.greystar.com.
JOB DESCRIPTION SUMMARY
Greystar is seeking a Platform Engineer to join the Data team. This is a senior, deeply technical platform operations role responsible for the reliability, governance, and cost efficiency of Greystar’s enterprise data infrastructure — a Databricks-native medallion architecture (Bronze → Silver → Gold) running entirely on Microsoft Azure. You will work within the DataOps pod under the Analytics Engineering umbrella, owning Databricks workspace administration, Unity Catalog governance, Azure infrastructure operations, and multi-system platform support.This role is platform-engineering-heavy. Most of your day lives inside Databricks workspace administration and the full Azure data services stack: ADLS Gen2, Azure Data Factory, Azure Monitor, Key Vault, Log Analytics, and beyond. You will enforce platform standards, govern identity and access, optimize compute and storage spend, and provide platform support for EDP, DALDW, ADF, Synapse, Cosmos DB, and SQL Server. Deep mastery of Databricks administration and the Azure platform is a baseline expectation.
JOB DESCRIPTION
Databricks Platform Engineering & Administration
• Own Databricks workspace administration: upgrades, cluster policies, compute configurations, and Delta table lifecycle management
• Administer Unity Catalog: access controls, service principal (SP), group, and user provisioning, governance policies, and data lineage
• Tune Spark jobs for performance, reliability, and cost — profiling bottlenecks, optimizing partitioning, managing Z-ordering, and controlling compute spend
• Architect and enforce DMP platform standards: naming conventions, schema evolution policies, SLA tiers, and medallion layer contracts
• Leverage Databricks Mosaic AI and Genie to build AI-native DataOps capabilities including intelligent pipeline monitoring and anomaly detection
Azure Infrastructure & Integration
• Operate the full Azure data services stack: ADLS Gen2, Azure Data Factory (ADF), Azure Monitor, Log Analytics, Key Vault, and Event Hub
• Collaborate with Azure infrastructure and cloud engineering teams on networking, identity, security, and resource provisioning
• Drive cost governance through Azure Cost Management, Databricks DBU optimization, and storage lifecycle policies
Multi-Platform Support
• Provide platform support for various systems and platforms including access management, storage optimization, and compliance
• Support additional platforms including ADF, Synapse Analytics, Cosmos DB, and Azure SQL Server
• Manage storage allocation, cluster optimization, and resource provisioning across all supported platforms
• Support compliance, audit readiness, and Key Vault secret rotation and management
CI/CD & Environment Deployments
• Own the full deployment pipeline for DMP data workflows — promoting changes from development through staging to production
• Build and maintain CI/CD workflows using GitHub Enterprise: branch strategies, PR automation, environment-specific configuration management, and release gating
• Enforce deployment standards: automated testing gates, rollback procedures, change documentation, and environment parity controls
• Use Linear for sprint planning, release tracking, and issue management across deployment cycles
Identity, Access & Governance
• Manage Azure Active Directory (AAD) service principals, RBAC assignments, and Unity Catalog permission policies
• Partner with the Data Governance team to enforce data contracts, ownership standards, and quality SLAs within Unity Catalog
• Maintain data lineage, metadata management, and governance framework documentation
• Ensure platform configurations meet security, compliance, and audit requirements
Environment Parity & Dev/Staging/Prod Management
• Own workspace configuration parity across Dev, Staging, and Production Databricks environments — cluster policies, Unity Catalog hierarchy, access controls, and compute configurations
• Define and enforce environment promotion hygiene: configuration drift detection, environment-specific secret management, and pre-production validation gates
• Maintain infrastructure-as-code (IaC) scripts and configuration templates to ensure reproducible, auditable environment provisioning across all tiers
Documentation & Collaboration
• Produce thorough technical documentation: runbooks, deployment playbooks, incident post-mortems, ADRs, and platform specs
• Partner with analytics engineers, data governance, and product stakeholders on platform design and capacity planning
• Participate in on-call rotation and support SLA commitments for business-critical DMP data domains
AI-Driven Platform Observability & Self-Healing Infrastructure
• Build and maintain AI-powered platform observability infrastructure — using LLMs and ML models to detect pipeline drift, classify anomalies, predict SLA risk, and generate automated incident summaries at the platform layer
• Architect and deploy self-healing pipeline capabilities — automated retry logic, circuit breakers, and remediation triggers — as production-grade platform features, not experiments
• Integrate Databricks Mosaic AI and Genie into operational platform workflows for intelligent cluster management, anomaly detection, and natural language platform diagnostics
• Contribute to Greystar’s 18-month agentic AI roadmap, leading near-term delivery of platform-level self-healing and proactive alerting capabilities
Data Pipeline Architecture & Platform Standards
• Own DMP pipeline architecture patterns from an infrastructure standpoint — Delta Live Tables (DLT) design standards, schema evolution enforcement, and medallion layer contracts
• Define and enforce platform-wide naming conventions, partitioning strategies, Z-ordering policies, and Delta table optimization schedules (VACUUM, OPTIMIZE)
• Partner with analytics engineers to ensure pipeline designs conform to platform infrastructure standards, SLA tiers, and compute budget constraints
Disaster Recovery & Business Continuity
• Design and maintain DR strategies for the DMP platform — including Delta table backup policies, ADLS Gen2 geo-redundancy configuration, and Databricks workspace recovery runbooks
• Define RTO and RPO targets for business-critical DMP data domains; test and validate recovery procedures on a recurring basis
• Maintain business continuity plans aligned with Azure region failover capabilities and Greystar’s enterprise SLA commitments
Qualifications:
Required • 5+ years of platform engineering, infrastructure engineering, or data operations experience in a production environment
• Expert-level Databricks administration: Unity Catalog, cluster policies, workspace management, compute configuration, and Delta Lake internals
• Strong command of the Azure data services ecosystem: ADLS Gen2, ADF, Azure Monitor, Log Analytics, Key Vault, Cost Management, and Event Hub
• Identity and access management: Azure Active Directory, service principals, RBAC, and Unity Catalog governance policies
• Hands-on experience with ADF pipeline design and orchestration at scale
• Spark performance tuning: partitioning, Z-ordering, compute spend optimization, and bottleneck profiling
• Proven CI/CD experience using GitHub Enterprise: environment promotion, rollback, and release management for data pipelines
• Python and/or SQL for automation scripts, compliance validation, and platform tooling
• Knowledge of medallion / lakehouse architecture patterns and multi-environment deployment discipline
• Terraform / Infrastructure-as-Code (IaC): provisioning and managing Databricks workspaces, Azure resources, Unity Catalog configurations, and environment-specific infrastructure through version-controlled IaC
• Azure DevOps Pipelines: build and release pipeline configuration, YAML pipeline authoring, and integration with GitHub Enterprise for end-to-end deployment automation
• Azure networking: VNet configuration, private endpoints for Databricks and ADLS Gen2, NSG rules, firewall policies, and DNS resolution for secure data platform connectivity
• Azure Monitor & Log Analytics: KQL query authoring, alert rule configuration, diagnostic settings, workbook creation, and cluster event monitoring for proactive platform health management
• Delta Lake internals: VACUUM, OPTIMIZE, ZORDER, time travel, table statistics, and transaction log management for production-grade Delta table lifecycle governance
Preferred
• Experience with Synapse Analytics, Cosmos DB, or Azure SQL Server in production data environments
• Familiarity with Databricks Mosaic AI, Genie, or AI-native platform observability capabilities
• Background in data lineage tooling, metadata management, and Unity Catalog governance frameworks
• Experience with ERP system integrations: Yardi, Entrata, or RealPage in multi-tenant environments
• Background in legacy BI migration or platform modernization programs
• Linear for engineering sprint and release management
Shared Role Expectations:
• Participate in on-call rotation coverage across assigned shift window
• Manage ServiceNow / Asana ticket queues per team SLA commitments
• Track and close Linear / DevOps work items as part of sprint cycles
• Contribute to team knowledge base, runbook library, and post-incident documentation
What We Offer
A high-impact role at the center of Greystar’s enterprise data transformation with access to cutting-edge tooling — Databricks, the full Azure stack, GitHub Enterprise, and an active AI innovation agenda. Competitive compensation, comprehensive benefits, flexible work arrangements, and a collaborative engineering culture focused on craft, automation, and continuous improvement.
The salary range for this position is $125,000 - $150,000 USD Annually.
Additional Compensation:
Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location.
- Corporate Positions: In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance.
- Onsite Property Positions: In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs.
Robust Benefits Offered*:
- Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage.
- Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure.
- For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.
- 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).
- 401(k) with Company Match up to 6% of pay after 6 months of service.
- Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).
- Employee Assistance Program.
- Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans.
- Charitable giving program and benefits.
*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority.
Greystar will consider for employment qualified applicants with arrest and conviction records.
Greystar is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, military or veteran status, or any other characteristic protected by applicable law.
This position may be performed remotely anywhere within the United States except the state of Alaska.
Important Notice: Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to AskHR@greystar.com.
ANTICIPATED CLOSING DATE
December 31, 2026This date may be subject to change due to evolving business needs.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
A high-impact role at the center of Greystar’s enterprise data transformation with access to cutting-edge tooling — Databricks, the full Azure stack, GitHub Enterprise, and an active AI innovation agenda. Competitive compensation, comprehensive benefits, flexible work arrangements, and a collaborative engineering culture focused on craft, automation, and continuous improvement. The salary range for this position is $125,000 - $150,000 USD Annually. Additional Compensation:
- Location & working pattern
Remote, United States
Greystar is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, military or veteran status, or any other characteristic protected by applicable law. This position may be performed remotely anywhere within the United States except the state of Alaska. Important Notice: Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to AskHR@greystar.com.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.