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Lead Data Architect
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-10-16
Listing for:
Motion Recruitment
Full Time
position Listed on 2026-10-16
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
We’re looking for a Lead Data Architect to lead the design and development of a modern, cloud-based data platform. This role focuses on Snowflake, data architecture, and data engineering, helping build reliable, scalable data solutions that support business operations, reporting, and advanced analytics.
This is a great opportunity for a hands‑on technical leader who enjoys shaping data strategy while staying involved in engineering. You’ll have the chance to modernize legacy systems, establish best practices, mentor a data engineering team, and work closely with business and technology leaders to make data more accessible, accurate, and useful.
Required Skills & Experience- 5–10 years of experience in data architecture and data engineering, including technical leadership.
- Strong expertise in data modeling and enterprise data architecture.
- Hands‑on experience with Snowflake or similar cloud data warehouses.
- Advanced SQL skills and proficiency in Python.
- Experience developing and optimizing ETL/ELT pipelines.
- Knowledge of data quality, metadata management, lineage, and governance.
- Experience mentoring engineers and communicating technical designs to senior leadership.
- Bachelor’s degree in Computer Science or a related field.
- Must be authorized to work in the U.S. without sponsorship or restrictions.
- Experience in the insurance industry.
- Snowflake certification.
- Familiarity with dbt, Airflow, Azure Data Factory, or similar tools.
- Knowledge of change data capture (CDC), event‑driven architecture, APIs, and data orchestration.
- Experience with master data management (MDM), canonical data modeling, and Power BI or other BI tools.
- Snowflake and cloud data architecture
- SQL and Python
- ETL/ELT pipelines and data integration
- Data modeling, governance, and quality frameworks
- Lead the design and evolution of enterprise data architecture.
- Build scalable, automated data pipelines and modernize legacy processes.
- Establish standards for data modeling, quality, security, and governance.
- Optimize Snowflake performance, cost, and reliability.
- Design bronze, silver, and gold data layers for data ingestion and analytics.
- Mentor engineers, review technical designs and code, and guide engineering best practices.
- Partner with business, analytics, actuarial, and technology teams to deliver data solutions.
- Competitive pay
- Health, Dental, Vision
- 401K
- Hybrid
- Office located near South Station
Posted By:
Matthew Power
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