[Remote] Sr Data Engineer
Note: The job is a remote job and is open to candidates in USA. Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. As a Senior Data Engineer, you will play a key role in designing, building, and maintaining scalable data pipelines that power 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
Skills
- 10+ years of experience in data architecture/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
Company Overview
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