Sr Data Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

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. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Company Highlights:

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate—we lead. Headquartered in Boston, with 4000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here.

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. You will work across both batch and streaming architectures, leveraging PySpark, SQL, and modern data engineering frameworks to deliver reliable, high-performance data solutions.

Key Responsibilities
* Define and own the overall data architecture for ingestion, storage, transformation, and analytics on GCP (focused on Big Query 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 Big Query 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.

Required Skills and Experience
* 10+ years of experience in data architecture/design with at least 6+ years on GCP.
* Deep expertise in Google Big Query 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 (Policy Center, Billing Center, Claims Center).
* 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.

What is in it for you:
* Be part of the fastest-growing AI-first digital transformation and engineering company in the world
* Be a leader of an energetic team of highly dynamic and talented individuals
* 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
* If you like wild growth and working with…