Lead Data Architect
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Role details
Tech stack
Job description
Data Architecture & Modeling
- Define the Logical Canonical Data Model (LCDM) independent of physical storage.
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Design Spanner-native physical schemas: o Primary key strategy o Row key distribution (hotspot avoidance) o Interleaving decisions o Secondary index strategy
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Decide where denormalization, projections, or materialized views are required. Transaction & Consistency Design
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Define transaction boundaries under Spanner constraints: o Single-partition vs multi-partition transactions o Atomicity and consistency trade-offs
- Classify workloads by strong consistency vs bounded staleness tolerance.
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Define idempotency and retry-safe patterns. Compatibility & Contract Validation
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Work with QA and platform teams to validate: o CRUD contracts o Query semantics o Transaction invariants
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Review and sign off on schema compatibility scorecards. Performance & Scalability
- Participate in workload replay analysis.
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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.
Requirements
- 10+ years in large-scale data architecture
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Deep expertise in Google Spanner internals: o TrueTime o Distributed transactions o Synchronous replication
- Experience designing petabyte-scale, multi-region OLTP systems
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Strong understanding of: o Distributed consistency models o Failure modes in globally distributed databases
- Prior Oracle * distributed DB migration experience strongly preferred
Skills: Analysis Skills, Architectural Services, Data Modeling, DataArchitect Data Modeling Tool, Distributed Computing, Distributed Databases, Editing, Identify Issues, Leadership, Mentoring, Quality Assurance, Scorecarding, System Architecture, Transaction Processing/Management
About the company
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
Company Size: 500 to 999 employees
Industry: Computer/IT Services
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