Principal Data Engineer

10+ years experience in data engineering, architecture, or platform roles Strong expertise in GCP data stack: BigQuery, GCS, Dataplex, Data Catalog, Pub/Sub, Dataflow Hands-on experience building ETL/ELT pipelines with dbt + orchestration (Composer/Airflow/Dagster) Deep knowledge of data modeling, warehousing, partitioning/clustering strategies Experience with monitoring, reliability engineering, and observability for data systems Familiarity with data governance, lineage, and security policies (IAM, DLP, encryption) Strong SQL skills Solid knowledge of Python for data engineering

Define overall greenfield data architecture using GCP - BigQuery Establish best practices for data ingestion, transformation, quality, and governance Lead design and implementation of ETL/ELT pipelines Ensure data quality and reliability Implement Dataplex & Data Catalog for metadata, lineage, and discoverability Define IAM policies, row/column-level security, DLP strategies, and compliance controls Define and enforce SLAs, SLOs, and SLIs Implement observability tooling Build alerting and incident response playbooks Ensure pipeline resilience Establish disaster recovery and high availability strategies Partner with BI/analytics teams for self-service Support squad-level data product ownership Mentor a small data engineering team Set coding, CI/CD, and operational standards