Data Platform Engineer
Core
Building production data pipelines and strengthening the data ecosystem with governance, quality controls, and observability to enable faster delivery of reliable data for product teams.
Role type
Senior Data Platform Engineer (DataOps)
Builds
Production-grade data pipelines, data models, and observability infrastructure for retail analytics.
Domain
Retail technology / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Spark, Databricks (Jobs/Workflows, Delta), dbt, Unity Catalog, CI/CD, observability, containerization (Docker/K8s), streaming (Kafka/Event Hubs), orchestration (Airflow/Prefect/Dagster)
Preferred skills
Retail domain knowledge, cost/performance optimization, mentoring
Technologies
Databricks, Unity Catalog, dbt, Kubernetes, Airflow, Spark, SQL, Datadog, Kafka, Docker
Responsibilities
Migrate multi-technology architectures to Databricks + Unity Catalog + dbt; implement robust, fault-tolerant data ingestion and processing systems; deploy end-to-end observability and alerting; optimize Delta tables and monitor costs/performance; collaborate with cross-functional teams to define data contracts and SLOs; create standardized code blocks and documentation to reduce technical debt.
Seniority
Senior, hands-on IC