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!
About 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.
Quantiphi Has Seen 2.5x Growth YoY Since Its Inception In 2013, We Don’t Just Innovate - We Lead. Headquartered In Boston, With 4,000+ Quantiphi Professionals Across The Globe. As An Elite/Premier Partner For Google Cloud, AWS, NVIDIA, Snowflake, And Others, We’ve Been Recognized With
- 17x Google Cloud Partner of the Year awards in the last 8 years.
- 3x AWS AI/ML award wins.
- 3x NVIDIA Partner of the Year titles.
- 2x Snowflake Partner of the Year awards.
- We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
- We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
- We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
For more details, visit: Website or LinkedIn Page.
Experience Level: 10
+ years of experience
Work Location:
Anywhere in USA or Canada
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 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.
Required Skills and Experience
- 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.
What We Offer
- Join a high-growth, AI-first digital engineering and transformation company
- Work with Fortune 500 clients and cutting-edge market disruptors
- Collaborate with a talented, dynamic, and driven team
- Gain exposure to the latest technologies in AI, ML, cloud, and data engineering
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
