Sr Data Engineer

Das ist der Job

About the Company Quantiphi is an Applied AI and Big Data software and services company.

Darum lohnt es sich

You will work across both batch and streaming architectures, leveraging PySpark, SQL, and modern data engineering frameworks to deliver reliable, high-performance data solutions. Partner with enterprise security and infrastructure teams to maintain compliance with data privacy regulations.

Ability to lead technical teams and guide design decisions with both functional and technical stakeholders. Be a leader of an energetic team of highly dynamic and talented individuals.

About the Role As a Senior Data Engineer, you will play a key role in designing, building, and maintaining scalable data pipelines that power analytics, insights, and business decision-making.

Key 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.

Required Skills and Experience 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 to raw to curated to analytics).

Hands-on proficiency in SQL and schema design for analytical environments (star/snowflake models). Familiarity with data governance, cataloging, and metadata management. What Is in It For You Be part of the fastest-growing AI first digital transformation and engineering company in the world.

Exposure to working with Fortune 500 companies and innovative market disruptors. Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud. #J-18808-Ljbffr