Own the technical architecture of the reporting data platform across ingestion, transformation, serving, and observability layers
Job Summary
Own the technical architecture of the reporting data platform across ingestion, transformation, serving, and observability layers.
Design and evolve metric computation systems, including versioning strategies, backfills, schema evolution, and change management that preserve correctness and stakeholder trust.
Mentor and level up Data Engineers and Analytics Engineers through design reviews, pairing, and by setting a high bar for production readiness.
Matching Summary
Own the technical architecture of the reporting data platform across ingestion, transformation, serving, and observability layers.
Skills & Requirements
Must-have
Data platform architecture
Metric computation systems
Medallion architecture in BigQuery
SQLMesh models and Airflow orchestration
Data quality frameworks
Incident management and root cause analysis
Query performance and workload optimization
Nice-to-have
People-first culture
Innovation and AI tools
Pragmatic approach to technical debt
Mentoring and leveling up engineers
Key Requirements
8+ years of experience in software or data engineering
Significant ownership of production analytics platforms
Deep experience with large-scale data platforms with explicit SLAs
Hands-on experience with SQLMesh, Airflow, and BigQuery
Ability to influence technical direction across teams