Description

Own the design and evolution of petabyte-scale data architecture using Google Spanner, ensuring consistency, performance, and scalability for multi-region OLTP systems.

Responsibilities

• Define the Logical Canonical Data Model (LCDM) and design Spanner-native physical schemas, including primary key strategies, row key distribution, and interleaving.
• Establish transaction boundaries, consistency models, and idempotency patterns to manage single-partition versus multi-partition constraints.
• Validate CRUD contracts, query semantics, and transaction invariants with QA and platform teams.
• Diagnose performance issues such as hot keys, transaction conflicts, and index amplification through workload replay analysis.
• Mentor domain architects and serve as the final authority for Spanner data design decisions and migration readiness.

Required Skills

• 10+ years of experience in large-scale data architecture and database design.
• Deep expertise in Google Spanner internals, including TrueTime, distributed transactions, and synchronous replication.
• Proven experience designing petabyte-scale, multi-region OLTP systems.
• Strong understanding of distributed consistency models and failure modes in globally distributed databases.
• Experience defining Logical Canonical Data Models (LCDM) and physical schema optimization.
• Ability to size Spanner instances and estimate cost envelopes for production workloads.

Key Skills

Education

Bachelor's degree