Lead Data Architect

Lead Data Architect


Job ID: mrp-892399

Remote, ,

Engineering

Full Time,

$140000 - $160000

On-site

Other/Non Classified

Remote, ,

$140000 - $160000

Full Time,

Other/Non Classified

On-site

Engineering

Job details

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.

Desired Skills & Experience

  • 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.

What You Will Be Doing

Tech Breakdown

  • Snowflake and cloud data architecture

  • SQL and Python

  • ETL/ELT pipelines and data integration

  • Data modeling, governance, and quality frameworks

Daily Responsibilities

  • 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.

The Offer

  • Competitive pay 

  • Health, Dental, Vision

  • 401K

  • Hybrid

  • Office located near South Station

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