[Remote] Senior Data Platform Engineer, Snowflake

Note: The job is a remote job and is open to candidates in USA. JD Power is a company that aims to power every auto-related decision through proprietary data and advanced analytics. They are seeking a Senior Data Platform Engineer to own the engineering of their Snowflake data platform, ensuring it supports analytics, product, and AI/ML workloads across the enterprise.

Responsibilities

• 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
• 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
• 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 InfoSec, Privacy, and Compliance on audit readiness and control attestation
• 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
• 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

Skills

• 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
• 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)

Company Overview

Company H1B Sponsorship