Looker + Google BigQuery Architect - Enterprise Data Engineer
Overview
Lead analytics solutioning architecture design and performance optimization across enterprise-scale data ecosystem. Own BI modernization journey. Standalone statement of ownership and scale. Differentiate by anchoring BI transformation.
What You'll Do9
- 1Design and implement scalable LookML models using Python and AWS services
- 2Architect data pipelines integrating Google BigQuery Cloud Composer Dataflow and Pub/Sub
- 3Drive end-to-end ownership of data warehouse solutions leveraging Kubernetes
- 4Collaborate with stakeholders to define requirements and translate business needs into technical specifications
- 5Optimize query performance and resource utilization through profiling and tuning
- 6Scale analytical workloads across multi-region deployments using AWS infrastructure
- 7Mentor junior engineers and establish best practices for data governance and quality
- 8Ship production-ready dashboards and reports within first ninety days
- 9Own data lineage tracking using Cloud Composer orchestrations
Requirements5
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading data platform initiatives
- 3AWS Certified Solutions Architect Professional
- 45+ years implementing LookML based semantic layer architecture
- 52-5 seasons managing complex data integration challenges
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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