Time since we first saw it
Day 30
Similar jobs usually come down between day 3 and day 43.
From 291 similar postings that came down. Coming down is not always a hire.
Los Angeles, CA
Live, first seen by us 30 days agoAnd more! Actual base salary considers several factors including but not limited to geography, job-related knowledge, experience, and budget. The start of the salary range is typically associated with the minimum experience required. At CIM, base pay is one part of the total compensation package. For this role, bonus compensation may be a significant part of the total compensation. The anticipated base salary range for the position in Los Angeles, CA is $150,000 - $175,000. #LI-BL1Read the full posting
Work setup in the employer’s posting: onsiteFrom the employer’s posting
Employment type Full Time
Employment type in the employer’s posting: Full TimeFrom the employer’s posting
Lead incident, problem, and root-cause management for data pipelines and jobs
Run FinOps: tagging, budgets, consumption monitoring, and chargeback by business line
Administer GitHub and own CI/CD for data assets via GitHub Actions and Databricks Asset Bundles
Operate the Azure Databricks Lakehouse: clusters, SQL warehouses, and runtimes
Define data freshness and data-quality monitoring and SLA tracking against reporting deadlines
Own end-to-end incident and problem management for the data platform
Own end-to-end FinOps for the data platform: resource tagging, budget policies, and consumption monitoring
Own and deploy CI/CD for data assets — GitHub Actions pipelines and Databricks Asset Bundle-based deployment
Own day-to-day operations of the Azure Databricks Lakehouse: cluster policies, instance pools, SQL warehouse sizing
Define and operate data freshness and data-quality monitoring, alerting, and SLA tracking against reporting deadlines.
401(k) savings plan, with company match
- Evidence of driving cross-functional outcomes in a matrixed environment and exercising sound, decisive judgment under operational pressure. - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Preferred:
CIM is a community-focused real estate and infrastructure owner, operator, lender, and developer.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 30
Similar jobs usually come down between day 3 and day 43.
From 291 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
POSITION PURPOSE: CIM Group is modernizing its enterprise data platform, migrating from a legacy Microsoft SQL Server estate to a Databricks Lakehouse architecture. The Data Platform Operations Lead is the operational owner of that platform — accountable for keeping it reliable, performant, and cost-disciplined for internal stakeholders and investors. This is a hands-on role with a leadership edge. The successful candidate personally owns production support and day-to-day platform operations, owns the firm’s DevOps tooling and CI/CD practice for data, and partners closely with Infrastructure and Data Engineering on the foundation and security layers those teams own. The role requires strong technical judgment and the ability to drive outcomes across a matrixed organization, make decisive operational calls, and act as a trusted delegate of the Head of Enterprise Data Management.
Databricks Platform Administration & Operations - Own day-to-day operations of the Azure Databricks Lakehouse: cluster policies, instance pools, SQL warehouse sizing, serverless configuration, and runtime currency. - Maintain workflow and Delta Live Tables pipeline reliability and performance at the platform level.
- Deliver cost transparency and chargeback/showback by business line, giving Fund Accounting, Portfolio Oversight, and other consumers visibility into what they drive. - Right-size compute (cluster policies, instance pools, SQL warehouse and serverless configuration) and drive continuous optimization of the platform's cost-to-serve. - Forecast platform spend, flag variances early, and partner with Finance and the Head of Enterprise Data Management on the platform budget.
- 8–12 years in data platform operations, DataOps, or a closely related discipline, with demonstrated hands-on production-support ownership. - Strong, current Databricks platform operations experience — compute, cost and FinOps governance, SQL warehouses, workflows/DLT, and runtime management on Azure. - Hands-on experience administering and deploying CI/CD and DevOps tooling (e.g., GitHub / GitHub Actions), Infrastructure-as-Code (Terraform), and observability tooling for a data platform.
- Own and deploy CI/CD for data assets — GitHub Actions pipelines and Databricks Asset Bundle-based deployment of notebooks, jobs, DLT pipelines, and platform objects across dev, test, and production. - Build and administer the Infrastructure-as-Code toolchain (Terraform with the Databricks provider, and Azure IaC for surrounding resources), and own the environment-promotion and release-management model. - Establish the observability strategy — monitoring, logging, alerting, and data-quality gates — and hold the practice to it.
- Carry on-call responsibility on a severity-based basis, with heightened coverage around quarter-end close and investor-reporting cycles. Databricks Platform Administration & Operations - Own day-to-day operations of the Azure Databricks Lakehouse: cluster policies, instance pools, SQL warehouse sizing, serverless configuration, and runtime currency.
FinOps & Cost Management - Own end-to-end FinOps for the data platform: resource tagging, budget policies, and consumption monitoring via Databricks system tables, and keeping spend predictable and defensible. - Deliver cost transparency and chargeback/showback by business line, giving Fund Accounting, Portfolio Oversight, and other consumers visibility into what they drive.
- Administer the DevOps toolchain for data — GitHub organization, repositories and access, CI runners, and pipeline secrets — operating with the advanced / administrator privileges these systems require. - Own and deploy CI/CD for data assets — GitHub Actions pipelines and Databricks Asset Bundle-based deployment of notebooks, jobs, DLT pipelines, and platform objects across dev, test, and production. - Build and administer the Infrastructure-as-Code toolchain (Terraform with the Databricks provider, and Azure IaC for surrounding resources), and own the environment-promotion and release-management model.
Infrastructure & Platform Security Partnership - Own Databricks account and workspace administration and partners with Infrastructure team for provisioning, the account console, identity federation (SCIM and SSO via Entra ID), and group and entitlement management. - Partner with Infrastructure on platform security — Private Link and network connectivity, secret scopes, token governance, and exfiltration controls.
- Experience in financial services, alternative investments, or real estate / infrastructure asset management, with familiarity with close cycles and investor-reporting calendars. - Databricks Academy Accreditation – Platform Administrator, and/or Databricks Certified Data Engineer (Associate or Professional). - Microsoft Certified: DevOps Engineer Expert (AZ-400).
ABOUT YOU: The ideal candidate is a hands-on operator who takes personal ownership of platform reliability and stays calm and decisive under pressure — especially around quarter-end close and investor-reporting cycles. They are fluent in modern data platform operations on Databricks, disciplined about cost (FinOps), and as comfortable administering DevOps tooling and Infrastructure-as-Code as they are running an incident to root cause. They build durable partnerships with Infrastructure and Data Engineering and drive outcomes across a matrixed organization without relying on positional authority. Key Competencies:
- Operational Rigor: Strong instincts for reliability, security, and controls — runbooks, monitoring, SLAs, and disciplined incident and change management. - Continuous Learner: Stays current with the evolving Databricks, DevOps, and FinOps landscape; actively evaluates new tooling and approaches. WHAT CIM OFFERS:
- Own day-to-day operations of the Azure Databricks Lakehouse: cluster policies, instance pools, SQL warehouse sizing, serverless configuration, and runtime currency. - Maintain workflow and Delta Live Tables pipeline reliability and performance at the platform level. - Note: Unity Catalog data-object privilege administration is owned by Data Stewardship and Data Engineering; this role partners on the operational impact but does not own catalog grants.
- Strong, current Databricks platform operations experience — compute, cost and FinOps governance, SQL warehouses, workflows/DLT, and runtime management on Azure. - Hands-on experience administering and deploying CI/CD and DevOps tooling (e.g., GitHub / GitHub Actions), Infrastructure-as-Code (Terraform), and observability tooling for a data platform. - A proven track record of partnering with an infrastructure / cloud team on identity, networking, and platform security.
- Microsoft Certified: DevOps Engineer Expert (AZ-400). - HashiCorp Certified: Terraform Associate. - Experience operating BI / reporting platforms such as Domo as downstream consumers of a data platform.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
New Data Operations postings at the employers we follow are up 227% 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.
We file this job under Data Operations, by the work the posting describes.
Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.
Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.
Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.
CIM Group is modernizing its enterprise data platform, migrating from a legacy Microsoft SQL Server estate to a Databricks Lakehouse architecture. The Data Platform Operations Lead is the operational owner of that platform — accountable for keeping it reliable, performant, and cost-disciplined for internal stakeholders and investors.
This is a hands-on role with a leadership edge. The successful candidate personally owns production support and day-to-day platform operations, owns the firm’s DevOps tooling and CI/CD practice for data, and partners closely with Infrastructure and Data Engineering on the foundation and security layers those teams own. The role requires strong technical judgment and the ability to drive outcomes across a matrixed organization, make decisive operational calls, and act as a trusted delegate of the Head of Enterprise Data Management.
Required:
Preferred:
The ideal candidate is a hands-on operator who takes personal ownership of platform reliability and stays calm and decisive under pressure — especially around quarter-end close and investor-reporting cycles. They are fluent in modern data platform operations on Databricks, disciplined about cost (FinOps), and as comfortable administering DevOps tooling and Infrastructure-as-Code as they are running an incident to root cause. They build durable partnerships with Infrastructure and Data Engineering and drive outcomes across a matrixed organization without relying on positional authority.
Key Competencies:
Full Time
Selected passages from the saved posting. Check the full description for conditions and exceptions.
And more! Actual base salary considers several factors including but not limited to geography, job-related knowledge, experience, and budget. The start of the salary range is typically associated with the minimum experience required. At CIM, base pay is one part of the total compensation package. For this role, bonus compensation may be a significant part of the total compensation. The anticipated base salary range for the position in Los Angeles, CA is $150,000 - $175,000. #LI-BL1
Los Angeles, CA
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.