Senior Google Data Platform Engineer

8-12 years data engineering including 4 years hands-on GCP. Reports to the Platform Architect.

Leads the build of one or more source domains and acts as technical lead for a pod of two to four engineers. Owns delivery within the architects frame; does not own platform-wide design or the DataOps layer.

• Own a source domain end to end: Pub/Sub consumption Dataflow ingestion bronze landing Dataform conformance and the resulting data mart.

• Confirm the source-side publishing contract with system owners and third-party integrators applying the defined onboarding pattern.

• Build streaming pipelines handling ordering idempotency deduplication and late-arriving events; implement and prove DLQ archival and replay.

• Build conformed and mart-layer Dataform models with assertions covering agreed data quality rules; conform shared dimensions rather than forking them.

• Build and operate reconciliation against the system of record and produce the evidence package for sign-off.

• Apply Dataplex registration policy tags and row-level security across the domain.

• Lead the pod: assign work review code hold the quality bar and mentor on streaming concepts.

• Translate the target-state design into an executable build plan; escalate architectural conflicts early rather than coding around them.

• Ensure every pipeline emits structured logs and metrics so the platforms operations layer can monitor it; write runbooks and lead hypercare for the domain.

• Production streaming experience Pub/Sub and Dataflow or Kafka / Flink / Kinesis including deduplication ordering and replay.

• Strong Python advanced SQL and Apache Beam.

• Deep hands-on BigQuery: partitioning clustering incremental merge patterns cost-aware design.

• Dimensional modeling built in a real warehouse including conformed dimensions.

• Dataform or dbt at production scale with tests or assertions and dependency management.

• Terraform Git workflow and CI/CD for data pipelines.

• Experience integrating a major SaaS platform as a data source.

• Track record leading a small team or owning a workstream with judgment on which decisions are theirs and which belong to the architect.

• GCP Professional Data Engineer certification; Dataplex and DLP; Analytics Hub or Looker; public sector delivery experience.