Note: The job is a remote job and is open to candidates in USA. K&K Global Talent Solutions INC. is seeking a Senior Google Data Platform Engineer/Architect to lead the delivery of source-domain data platforms on GCP. The role owns ingestion, transformation, data marts, reconciliation, security, observability, and operational readiness while leading a pod of two to four engineers.
Responsibilities
- 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 platform's operations layer can monitor it; write runbooks and lead hypercare for the domain
Skills
- 8–12 years data engineering, including 4+ years hands-on GCP
- 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
Company Overview