
Senior Database Architect Position
1 week ago
We are seeking an experienced Lead Data Engineer to drive the technical architecture for migrating large-scale databases from Azure SQL to Google BigQuery and integrating Looker as the enterprise Business Intelligence platform.
Key Responsibilities:
- Design an end-to-end GBQ migration framework, ensuring schema optimization, data ingestion patterns, and query performance.
- Develop ELT patterns using Cloud Data Fusion, SQL, Python, and other GCP-native services.
- Collaborate with stakeholders to resolve complex data challenges and define scalable data models.
- Lead code reviews, ensure implementation of IAM-based governance, logging, and monitoring.
- Act as a technical liaison between architects and delivery teams.
- Align sprint deliverables with project milestones, ensuring timely completion on critical paths.
- Mentor Data Engineers and BI Analysts to adopt engineering and data modeling best practices.
Requirements:
- Leadership in data engineering best practices.
- Pipeline optimization.
- Governance enforcement.
Qualifications:
- 10+ years in Data Engineering, with at least 3+ years on GCP BigQuery.
- Proven experience migrating large-scale databases from Azure SQL or equivalent to GBQ.
- Strong knowledge of ELT patterns, partitioning, clustering, and optimization in GBQ.
- Advanced SQL, Python, and Cloud Data Fusion experience.
- Familiarity with data modeling and BI integration workflows.
- Excellent leadership, stakeholder management, and mentoring skills.
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