Lead Data Architect - Lakehouse & AI Platform

The J.Jill Group; Quincy (MA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Bonus eligible

401(k) retirement plan with match

Medical, dental, vision

Paid time off

Office amenities: cafe, fitness center

Associate discounts

Discount Marketplace

Associate resource groups

Job summary

The J.Jill Group is seeking a Lead Data Architect to own the Databricks Lakehouse architecture, master data management, governance, and AI-enabled capabilities. You will define patterns for ingestion, data products, and lifecycle management across cloud and on-premises platforms.

You will lead the enterprise data governance forums, ensure data quality and privacy controls, and partner with Legal, Compliance, and business teams to translate requirements into technical solutions.

Qualifications

• Bachelor's degree or higher in a technical field; 10+ years in data architecture/engineering roles.
• 5+ years with lakehouse platforms (Databricks, Snowflake, etc.), data modeling, governance and data quality.

Responsibilities

• Lead enterprise data architecture and Databricks Lakehouse platform design and roadmap.
• Own master data architecture for item, customer, vendor, and location data.
• Lead enterprise data governance and stewardship forums with business data owners and Legal/Compliance.
• Define data classification, access controls, retention, and privacy/security standards.
• Define data contracts and governance for strategic data integrations and AI enablement.
• Mentor data engineers and collaborate with cross-functional stakeholders on architecture decisions.

Skills

PySpark

SQL

Data governance

Data quality

Architecture leadership

Education

Bachelor's degree in computer science, information technology, data management, statistics, mathematics, or related field

Equivalent professional experience

Tools

Databricks

Snowflake

Microsoft Fabric

Unity Catalog

Delta Lake

Job description

The J.Jill Group is seeking a Lead Data Architect to own the Databricks Lakehouse architecture, master data management, governance, and AI-enabled capabilities. You will define patterns for ingestion, data products, and lifecycle management across cloud and on-premises platforms.

You will lead the enterprise data governance forums, ensure data quality and privacy controls, and partner with Legal, Compliance, and business teams to translate requirements into technical solutions.