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!

Experience Level: 10+ years of experience
Work Location: Anywhere in USA
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 4+ 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).

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, youll enjoy your career with us!

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