About this role
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:
• 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.
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 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.
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 happy, enthusiastic over-achievers, you'll enjoy your career with us!