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