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Job Description
About the Role
We are seeking experienced Senior Data Engineers or Data Architects with deep expertise in to design and build scalable, high-performance data platforms. A key focus of this role is working with Google Cloud Spanner, including modernization and migration from distributed NoSQL systems such as Couchbase to Spanner.
You will play a critical role in architecting next-generation data systems that support analytics, transactional workloads, and business-critical applications.
Key Responsibilities
Define and own end-to-end data architecture on GCP, with a focus on Cloud Spanner, BigQuery, and Cloud Composer (Airflow)
Design scalable data models for both transactional (OLTP) and analytical (OLAP) systems
Lead database modernization initiatives, especially Couchbase to Cloud Spanner migrations
Architect data ingestion and transformation pipelines (batch & streaming) using SQL and ELT frameworks
Design multi-layered data platforms (staging → raw → curated → analytics)
Collaborate with Business Analysts and stakeholders to translate requirements into robust data models
Define schema design, indexing, partitioning, and query optimization strategies in Spanner and BigQuery
Establish data governance, security (IAM/RLS), metadata management, and data quality standards
Ensure system scalability, reliability, and cost optimization aligned with GCP best practices
Provide technical leadership and mentorship to data engineering teams
Partner with enterprise teams to ensure compliance with security and data privacy standards
Required Skills & Experience
10+ years of experience in Data Engineering or Data Architecture
6+ years of hands-on experience with Google Cloud Platform (GCP)
Strong expertise in Google Cloud Spanner (schema design, performance tuning, distributed architecture)
Proven experience in Couchbase to Spanner migration (highly preferred – “bullseye” skill)
Deep understanding of distributed databases and consistency models
Expertise in BigQuery for analytical workloads
Hands-on experience with Cloud Composer (Airflow) for orchestration
Strong SQL skills and experience with data modeling (relational + NoSQL paradigms)
Experience building enterprise-grade ELT pipelines
Familiarity with data governance, cataloging, and metadata tools
Strong leadership and stakeholder management skills
Nice to Have
Experience with streaming frameworks (Pub/Sub, Dataflow)
Exposure to insurance domain data models (Policy, Claims, Billing)
Knowledge of hybrid transactional/analytical processing (HTAP) systems
Certification in Google Cloud (Professional Data Engineer / Architect)
What We Offer
Opportunity to work with a high-growth AI-first company
Exposure to cutting-edge cloud, AI/ML, and data technologies
Work with Fortune 500 clients and industry disruptors
A collaborative, high-energy, and growth-driven culture
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