Data Engineer

Job Title : Data Engineer

Location details : Hybrid- 3 days onsite in San Jose, CA and 2 days remote

Duration : 6+ Months

Role Summary: Lead data architecture design and implementation for the Customer Data Store platform, with a focus on Google Cloud Platform (Google Cloud Platform) services and Oracle-to-cloud migration.

Team / Reason for Need

• Team: Customer Data Store
• Reason: Drive cloud-native data architecture leveraging Google Cloud Platform and lead Oracle migration efforts
• Extension: Yes, with potential for full-time conversion

Key Responsibilities

• Design and implement data models for Spanner and Bigtable
• Create multi-region, globally distributed data architecture blueprints
• Lead Oracle-to-Google Cloud Platform migration strategies (schema conversion, optimization)
• Optimize data access patterns for sub-10ms latency
• Define consistency models and transaction boundaries
• Implement CQRS and event sourcing patterns where appropriate
• Collaborate with application teams on data contracts and APIs
• Establish data governance, lineage, and quality frameworks
• Document architectural decisions and best practices

Required Qualifications

• 8+ years of experience in data architecture and database design
• Bachelor’s degree in Computer Science or equivalent experience
• Strong SQL and data modeling expertise
• Deep understanding of distributed systems and CAP theorem
• Experience with database migrations

Technical Skills

• Java (Spring Data, JPA/Hibernate)
• Reactive data access (R2DBC)
• Google Cloud Spanner & Bigtable
• Apache Beam / Dataflow
• CDC tools (Debezium, Striim, GoldenGate)
• Event-driven architectures (Pub/Sub or Kafka)
• Query optimization and performance tuning

Top 3 Must-Have Skills (Stack-Ranked)

1. Data architecture & database design experience
2. Java with Spring Data/JPA/Hibernate + R2DBC
3. CDC tools (Debezium, Striim, GoldenGate)

Nice to Have:

• Oracle database administration and migration
• Data mesh and domain-driven design experience