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Remote USA
Live, first seen by us 50 days agoAI/ML workloads on Snowflake (Cortex, Snowpark, feature stores). This position has a starting salary range of $120,000 – $175,000 USD / $110,000 to $140,000 CAD per year. The range represents what we reasonably and in good faith expect to pay for the role at the time of posting. An employee’s pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location. Why Join JD PowerRead the full posting
Job Title: Senior Data Platform Engineer, Snowflake Location: Remote | USA, Canada Reports to: SVP, Engineering Employment Type: Full-time
Listed location: Remote USARead the full posting
Location: Remote | USA, Canada Reports to: SVP, Engineering Employment Type: Full-time This is a new vacancy
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Candidates must be legally authorized to work in the country where employment is offered
Own the hands-on engineering of JD Power's Snowflake data platform.
Design, implement, and evolve Snowflake account, warehouse, database, and object architecture.
Design and evolve Snowflake account, warehouse, and database architecture
Manage Snowflake environments and security as code with Terraform
Build and run CI/CD pipelines for database deployments
Design role-based access control and security controls, including masking and row access policies
Build data ingestion and integration pipelines using Snowpipe, Kafka Connect, and connector tools
Own the hands-on engineering of JD Power's Snowflake data platform. Responsible for translating the Platform Lead's architecture and governance direction into a production-grade, automated, and observable Snowflake environment that supports analytics, product, and AI/ML workloads across the enterprise.
Design, implement, and evolve Snowflake account, warehouse, database, and object architecture.
Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform to manage Snowflake environments, security models, and platform configurations.
Build and operate CI/CD pipelines for database and platform deployments
Design and maintain scalable role-based access control (RBAC) frameworks that support least-privilege access principles.
Design and operate scalable data ingestion and integration solutions using Snowpipe, Snowpipe Streaming, Streams and Tasks, Kafka Connect, and related technologies.
5+ years of professional data platform, data engineering, or data infrastructure experience.
3+ years of hands-on Snowflake experience at production scale (not pilot/POC).
Demonstrated expertise in Snowflake RBAC design, warehouse sizing and cost governance, performance tuning, and security features.
Strong SQL — able to read and optimize a query profile.
Python for tooling, automation, and pipelines.
Communication — able to author decision records and runbooks; able to influence without authority.
Experience with Snowflake Horizon Catalog, Polaris, Collibra, or Alation.
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Day 50
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Strong SQL — able to read and optimize a query profile. - Python for tooling, automation, and pipelines. - Production IaC experience — Terraform required; Snowflake provider strongly preferred.
- Demonstrated expertise in Snowflake RBAC design, warehouse sizing and cost governance, performance tuning, and security features. - Strong SQL — able to read and optimize a query profile. - Python for tooling, automation, and pipelines.
- Design and operate scalable data ingestion and integration solutions using Snowpipe, Snowpipe Streaming, Streams and Tasks, Kafka Connect, and related technologies. - Manage and support data integration platforms such as Fivetran, Airbyte, or equivalent connector frameworks. - Implement external tables, Apache Iceberg integrations, and lakehouse interoperability patterns as needed.
- Cloud fluency in AWS — networking, IAM, storage, and Snowflake integration points. - Ingestion experience with Snowpipe, Streams/Tasks, Kafka, and/or Fivetran/Airbyte. - Communication — able to author decision records and runbooks; able to influence without authority.
- Database CI/CD using Schemachange, Liquibase, dbt, or equivalent change-management tooling. - Cloud fluency in AWS — networking, IAM, storage, and Snowflake integration points. - Ingestion experience with Snowpipe, Streams/Tasks, Kafka, and/or Fivetran/Airbyte.
- Iceberg / lakehouse architecture. - Data observability tooling (Monte Carlo, Bigeye, Datadog). - Automotive, financial services, insurance, or regulated consumer-data experience.
- Implement external tables, Apache Iceberg integrations, and lakehouse interoperability patterns as needed. - Integrate Snowflake with orchestration, transformation, and observability platforms, including Airflow, dbt Cloud, and monitoring solutions. Operational Excellence
- Production IaC experience — Terraform required; Snowflake provider strongly preferred. - Database CI/CD using Schemachange, Liquibase, dbt, or equivalent change-management tooling. - Cloud fluency in AWS — networking, IAM, storage, and Snowflake integration points.
- SnowPro Advanced certification (Architect, Data Engineer, or Administrator). - Hands-on dbt and modern Analytics Engineering experience. - Experience with Snowflake Horizon Catalog, Polaris, Collibra, or Alation.
- Manage and support data integration platforms such as Fivetran, Airbyte, or equivalent connector frameworks. - Implement external tables, Apache Iceberg integrations, and lakehouse interoperability patterns as needed. - Integrate Snowflake with orchestration, transformation, and observability platforms, including Airflow, dbt Cloud, and monitoring solutions.
Data Integration & Platform Enablement - Design and operate scalable data ingestion and integration solutions using Snowpipe, Snowpipe Streaming, Streams and Tasks, Kafka Connect, and related technologies. - Manage and support data integration platforms such as Fivetran, Airbyte, or equivalent connector frameworks.
- Experience with Snowflake Horizon Catalog, Polaris, Collibra, or Alation. - Streaming and CDC: Kafka, Debezium, Snowpipe Streaming, Dynamic Tables. - Iceberg / lakehouse architecture.
Job Description: Job Title: Senior Data Platform Engineer, Snowflake Location: Remote | USA, Canada Reports to: SVP, Engineering
About the Role: Own the hands-on engineering of JD Power's Snowflake data platform. Responsible for translating the Platform Lead's architecture and governance direction into a production-grade, automated, and observable Snowflake environment that supports analytics, product, and AI/ML workloads across the enterprise. In this role, you will:
Platform Architecture & Engineering - Design, implement, and evolve Snowflake account, warehouse, database, and object architecture. - Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform to manage Snowflake environments, security models, and platform configurations.
- Design, implement, and evolve Snowflake account, warehouse, database, and object architecture. - Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform to manage Snowflake environments, security models, and platform configurations. - Build and operate CI/CD pipelines for database and platform deployments using tools such as Schemachange, Liquibase, or equivalent technologies.
- Implement and manage security controls, including masking policies, row access policies, object tagging, and network security configurations. - Integrate Snowflake with enterprise identity providers to support SSO, SCIM provisioning, service account management, and credential lifecycle processes. - Partner with Information Security, Privacy, and Compliance teams to support audit readiness and regulatory requirements.
- Partner with Data Governance, Analytics Engineering, and application teams to ensure the platform supports enterprise data management, security, and analytics objectives. - Contribute to platform standards, architectural decisions, and long-term roadmap planning for Snowflake and related data technologies. Required Qualifications:
- 5+ years of professional data platform, data engineering, or data infrastructure experience. - 3+ years of hands-on Snowflake experience at production scale (not pilot/POC). - Demonstrated expertise in Snowflake RBAC design, warehouse sizing and cost governance, performance tuning, and security features.
- 3+ years of hands-on Snowflake experience at production scale (not pilot/POC). - Demonstrated expertise in Snowflake RBAC design, warehouse sizing and cost governance, performance tuning, and security features. - Strong SQL — able to read and optimize a query profile.
- Python for tooling, automation, and pipelines. - Production IaC experience — Terraform required; Snowflake provider strongly preferred. - Database CI/CD using Schemachange, Liquibase, dbt, or equivalent change-management tooling.
- Hands-on dbt and modern Analytics Engineering experience. - Experience with Snowflake Horizon Catalog, Polaris, Collibra, or Alation. - Streaming and CDC: Kafka, Debezium, Snowpipe Streaming, Dynamic Tables.
- Automotive, financial services, insurance, or regulated consumer-data experience. - AI/ML workloads on Snowflake (Cortex, Snowpark, feature stores). This position has a starting salary range of $120,000 – $175,000 USD / $110,000 to $140,000 CAD per year. The range represents what we reasonably and in good faith expect to pay for the role at the time of posting. An employee’s pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location.
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Yes. We’ve followed one other Senior Data Platform Engineer, Snowflake job there since June 2026. It came down after 28 days.
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.
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:
Job Title: Senior Data Platform Engineer, Snowflake
Location: Remote | USA, Canada
Reports to: SVP, Engineering
Employment Type: Full-time
This is a new vacancy
About the Role:
Own the hands-on engineering of JD Power's Snowflake data platform. Responsible for translating the Platform Lead's architecture and governance direction into a production-grade, automated, and observable Snowflake environment that supports analytics, product, and AI/ML workloads across the enterprise.
In this role, you will:
Platform Architecture & Engineering
Security & Access Management
Data Integration & Platform Enablement
Operational Excellence
Cross-Functional Collaboration
Required Qualifications:
Preferred Qualifications
This position has a starting salary range of $120,000 – $175,000 USD / $110,000 to $140,000 CAD per year. The range represents what we reasonably and in good faith expect to pay for the role at the time of posting. An employee’s pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location.
Why Join JD Power
JD Power powers auto-related decisions through proprietary data, advanced analytics, deep industry expertise, and workflows that connect insight to action. Operating across North America, Europe, and Australia, we help customers make better decisions and achieve better outcomes.
As a virtual-first company, we offer flexible work arrangements, opportunities for learning and development, and a culture centered on the Values that guide how we work every day.
· We power our customers’ success. Everything we do is focused on helping customers make better decisions and achieve better outcomes.
· We are innovative, collaborative, and grounded in data. We combine advanced analytics with human expertise to deliver insight that holds up in the real world.
· We make things easy. We turn complexity into clarity so teams can act faster and with confidence.
· We get it done. We focus on execution, accountability, and results.
· We start with trust and prove it every day. Independence, integrity, and credibility are the foundation of our work.
Equal Opportunity & Accommodations
JD Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
JD Power is committed to providing reasonable accommodations throughout the recruitment process for individuals with disabilities or other protected needs under applicable local laws. Please contact careers@jdpower.com for accommodation request.
Data Privacy
JD Power does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, JD Power has international sites and JD Power uses resources located throughout the world. JD Power may from time to time also use third parties to act on JD Power’s behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within JD Power group of companies as well as to third parties acting on JD Power’s behalf, including also transfers to servers and databases outside the country where you provided JD Power with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America. If you are a California or United Kingdom resident, additional disclosures about the information we collect and how we use that information can be found by clicking here.
Applications
Candidates must be legally authorized to work in the country where employment is offered. JD Power does not provide employment sponsorship for this position.
This position is posted exclusively on https://www.jdpower.com/business/careers and select trusted job boards such as LinkedIn or Indeed. All official communication comes from email addresses ending in @jdpower.com or @jdpa.com. We will never ask for payment, equipment purchases, or upfront fees. We may take additional steps to verify candidate information to protect the integrity of our recruitment process.
To all recruitment agencies: JD Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
AI/ML workloads on Snowflake (Cortex, Snowpark, feature stores). This position has a starting salary range of $120,000 – $175,000 USD / $110,000 to $140,000 CAD per year. The range represents what we reasonably and in good faith expect to pay for the role at the time of posting. An employee’s pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location. Why Join JD Power
Remote USA
Job Title: Senior Data Platform Engineer, Snowflake Location: Remote | USA, Canada Reports to: SVP, Engineering Employment Type: Full-time
Applications Candidates must be legally authorized to work in the country where employment is offered. JD Power does not provide employment sponsorship for this position. This position is posted exclusively on https://www.jdpower.com/business/careers and select trusted job boards such as LinkedIn or Indeed. All official communication comes from email addresses ending in @jdpower.com or @jdpa.com. We will never ask for payment, equipment purchases, or upfront fees. We may take additional steps to verify candidate information to protect the integrity of our recruitment process.