Senior Data Engineer

Quantiphi is an award-winning Applied AI and Big Data software and services company, known for solving transformational problems in businesses. As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines that support analytics and business decision-making, working with both batch and streaming architectures.

Responsibilities:

• Define and own the overall data architecture for ingestion, storage, transformation, and analytics on GCP (focused on BigQuery and Cloud Composer)
• Design data modeling frameworks and best practices for structured and semi-structured insurance data (Policy, Claims, Billing)
• Collaborate with Business Analysts to translate functional Guidewire requirements into conceptual and logical data models
• Work with Data Modelers and Data Engineers to define physical schemas, transformation strategies, and data lineage standards
• Design and oversee data ingestion architecture from Guidewire (staging, raw, curated layers) using SQL-based ELT pipelines
• Establish data governance, metadata management, and data quality frameworks for transparency and compliance
• Review and optimize BigQuery data structures (partitioning, clustering, query tuning, storage tiering)
• Define naming conventions, security models (IAM/RLS), and access control standards for the data warehouse
• Ensure architecture alignment with cloud best practices for scalability, cost optimization, and maintainability
• Provide architectural direction and mentorship to the Data Engineering Lead, Data Modeler, and Data Engineers
• Partner with enterprise security and infrastructure teams to maintain compliance with data privacy regulations

Requirements:

• 10+ years of experience in data engineer /design with at least 6+ years on GCP
• Deep expertise in Google BigQuery data warehouse design and performance tuning
• Strong working knowledge of Cloud Composer (Airflow) and orchestration pipelines
• Solid understanding of insurance data structures, preferably from Guidewire systems (PolicyCenter, BillingCenter, ClaimsCenter)
• Experience architecting enterprise-grade ELT frameworks and multi-layered data architectures (staging → raw → curated → analytics)
• Hands-on proficiency in SQL and schema design for analytical environments (star/snowflake models)
• Familiarity with data governance, cataloging, and metadata management
• Ability to lead technical teams and guide design decisions with both functional and technical stakeholders