NEWPosted 3 hours ago

Job ID: JOB_ID_6078

Job Overview:

We are seeking a highly experienced Lead Data Architect with deep expertise in Google Spanner and distributed systems architecture. This role will own the target-state data architecture, ensuring scalability, consistency, and high performance for enterprise-grade applications. The ideal candidate will design data models and transaction strategies that support high availability, low latency, and large-scale OLTP workloads across multi-region environments.

Key Responsibilities:

Data Architecture & Modeling:

  • Define and maintain the Logical Canonical Data Model (LCDM) independent of physical storage
  • Design Spanner-native physical data models, including:
    • Primary key strategies
    • Row key distribution (hotspot avoidance)
    • Table interleaving strategies
    • Secondary indexing approaches
  • Determine use of denormalization, projections, and materialized views

Transaction & Consistency Design:

  • Define transaction boundaries (single-partition vs multi-partition)
  • Evaluate and implement atomicity and consistency trade-offs
  • Classify workloads based on:
    • Strong consistency
    • Bounded staleness tolerance
  • Design idempotent and retry-safe transaction patterns

Performance & Scalability:

  • Analyze workload patterns and participate in workload replay testing
  • Identify and mitigate:
    • Hot key issues
    • Transaction conflicts
    • Index amplification
  • Optimize for high availability, high performance, and low latency workloads
  • Size Spanner clusters and estimate cost models

Compatibility & Validation:

  • Partner with QA and platform teams to validate:
    • CRUD contracts
    • Query semantics
    • Transaction invariants
  • Review and approve schema compatibility scorecards

Leadership & Governance:

  • Act as the final authority on all Spanner data architecture decisions
  • Mentor architects and engineering teams on best practices
  • Provide executive-level architectural guidance and documentation
  • Drive migration readiness and sign-offs for domain-level implementations

Required Skills & Experience:

  • 8+ years of experience in Data Architecture & Modeling
  • Strong hands-on expertise with Google Spanner:
    • TrueTime
    • Distributed transactions
    • Synchronous replication
  • Experience designing high availability, high performance, low latency systems
  • Proven experience with petabyte-scale, multi-region OLTP systems
  • Deep understanding of:
    • Distributed consistency models
    • Failure scenarios in distributed databases
  • Experience with AlloyDB or similar distributed database platforms
  • Strong experience in data modeling, schema design, and indexing strategies

Preferred Qualifications:

  • Experience with Oracle to distributed database migrations
  • Strong background in cloud-native architectures (GCP preferred)
  • Familiarity with data governance, data lifecycle management, and large-scale migrations
  • Excellent communication and leadership skills

Compensation & Location

Salary: $80 – $100 per year (Estimated)

Location: San Jose, CA

Recruiter / Company – Contact Information

Email: it.c@noviainfotech.com

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