Data Engineer​/Data Architect

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!

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.

• 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.

• 10+ years of experience in data architecture/design with at least 4+ 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).
• 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.

• 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!