Data Architect

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 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!

Experience Level
: 10 + Years

We are looking for an experienced GCP Data Architect to lead the design and governance of a cloud-native data warehouse and integration platform supporting Guidewire Policy Center, Billing Center, and Claims Center systems. This architect will define the end-to-end data architecture strategy, covering ingestion design, transformation layers, metadata and lineage management, and analytical data serving patterns on Google Big Query. The ideal candidate combines deep GCP technical expertise with a strong understanding of insurance data domains, ensuring that both business value and technical scalability are achieved.

• 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.

• 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