Senior Data Platform Engineer, Snowflake

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 Powers Snowflake data platform. Responsible for translating the Platform Leads 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.
• Build and operate CI/CD pipelines for database and platform deployments using tools such as Schemachange Liquibase or equivalent technologies.
• Optimize platform performance through query tuning clustering strategies search optimization materialized views and workload management.

Security & Access Management

• Design and maintain scalable role-based access control (RBAC) frameworks that support least-privilege access principles.
• 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.

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.
• 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

• Monitor platform reliability performance data freshness and cost efficiency while driving continuous improvement initiatives.
• Build observability frameworks dashboards alerting capabilities and incident response processes.
• Create and maintain architectural standards technical documentation operational runbooks and implementation best practices.
• Enable and support Analytics Engineering Data Science Product Engineering and business stakeholders through platform guidance and technical expertise.

Cross-Functional Collaboration

• 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.
• 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.
• 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.

Preferred Qualifications

• 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.
• Streaming and CDC: Kafka Debezium Snowpipe Streaming Dynamic Tables.
• Iceberg / lakehouse architecture.
• Data observability tooling (Monte Carlo Bigeye Datadog).
• 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 $120000 $175000 USD / $110000 to $140000 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 employees 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 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 companiesin 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 Powers behalf. You agree to the fact that to the extent necessary yourpersonal 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 Powers behalf including also transfers to servers and databases outside the country where you provided JD Powerwith 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 clickinghere.

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 and select trusted job boards such as LinkedIn or Indeed. All official communication comes from email addresses ending in @ or @. We will never ask for payment equipment purchases or upfront 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.