Senior Data Platform Engineer, Snowflake

*
* Job Description:

***
* Title:

** Senior Data Platform Engineer
*
* Location:

** Remote – USA, Canada
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* Reports to:

** SVP, Engineering
** Vacancy**:
New vacancy
*
* 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.
** The Scope & Ownership You Will Have in This Role:
** Owns* Snowflake account, warehouse, and object architecture.
* Infrastructure-as-Code repository and CI/CD for all Snowflake changes.
* RBAC implementation, security controls, and identity integration.
* Ingestion and integration patterns (Snowpipe, Streams/Tasks, managed connectors).
* Platform observability, cost monitoring, and performance tuning.
* Documentation, runbooks, and onboarding patterns for platform consumers.

Does not own
* Governance policy and strategy (owned by the Platform Lead).
* Business data modeling and semantic layer (owned by Analytics Engineering).
* Source system data quality at point of capture (owned by upstream teams).
** What You’ll Be Doing in This Role:
** Platform engineering
* Design and evolve Snowflake account, warehouse, and object architecture.
* Implement and maintain all Snowflake objects, roles, and policies in Terraform.
* Operate database CI/CD using Schemachange, Liquibase, or equivalent.
* Tune performance: clustering, search optimization, materialized views, query profiling.

Security and governance enforcement
* Build and maintain the functional/access role hierarchy enforcing least privilege.
* Implement masking policies, row access policies, object tagging, and network policies.
* Integrate Snowflake with IdP for SSO/SCIM; manage service accounts and key rotation.
* Partner with Info Sec, Privacy, and Compliance on audit readiness and control attestation.

Ingestion and integration
* Operate Snowpipe, Snowpipe Streaming, Streams/Tasks, and Kafka Connector pipelines.
* Manage Fivetran/Airbyte (or equivalent) connector deployments and reliability.
* Implement Iceberg / external tables where lakehouse interoperability is required.
* Integrate with orchestration (Airflow / dbt Cloud) and observability tooling.

Operational excellence
* Define and meet SLOs for platform reliability, freshness, and cost.
* Build dashboards and alerting; lead incident response for platform issues.
* Document architecture decisions, patterns, and runbooks.
* Enable Analytics Engineering, Product Engineering, and Data Science consumers.
** Qualifications of this Role:
*** 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  + Snow Pro 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…