Lead the target-state data architecture on Google Spanner for 1000+ applications, ensuring functional correctness and performance SLOs. Design Spanner-native schemas including primary keys, row key distribution, interleaving, and secondary indexes. Define transaction boundaries, consistency models, and idempotency patterns while mentoring domain architects.
Key Highlights
Key Responsibilities
Technical Skills Required
Job Description
Lead Data Architect (Google spanner) - San Jose, CA / Scottsdale, AZ/ Remote
Job Description
Own the target-state data architecture on Google Spanner, ensuring the new data model satisfies functional correctness, performance SLOs, and transactional semantics required by 1000+ applications—before large-scale app rewrites occur.
This role is not a schema converter. It is a distributed systems architect role.
Key Responsibilities:
Data Architecture & Modeling
• Define the Logical Canonical Data Model (LCDM) independent of physical storage.
• Design Spanner-native physical schemas:
o Primary key strategy
o Row key distribution (hotspot avoidance)
o Interleaving decisions
o Secondary index strategy
• Decide where denormalization, projections, or materialized views are required.
Transaction & Consistency Design
• Define transaction boundaries under Spanner constraints:
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o Single-partition vs multi-partition transactions
o Atomicity and consistency trade-offs
• Classify workloads by strong consistency vs bounded staleness tolerance.
• Define idempotency and retry-safe patterns.
Compatibility & Contract Validation
• Work with QA and platform teams to validate:
o CRUD contracts
o Query semantics
o Transaction invariants
• Review and sign off on schema compatibility scorecards.
Performance & Scalability
• Participate in workload replay analysis.
• Diagnose and resolve:
o Hot key risks
o Transaction conflicts
o Index amplification
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• Size Spanner instances and estimate cost envelopes.
Leadership
• Act as final authority for Spanner data design decisions.
• Mentor domain architects and engineers.
• Provide executive-level architectural rationale.
Required Skills & Experience
• 10+ years in large-scale data architecture
• Deep expertise in Google Spanner internals:
o TrueTime
o Distributed transactions
o Synchronous replication
• Experience designing petabyte-scale, multi-region OLTP systems
• Strong understanding of:
o Distributed consistency models
o Failure modes in globally distributed databases
• Prior Oracle → distributed DB migration experience strongly preferred
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