Lead Data Architecht

At we believe our associates should be seen valued and celebrated. We support the advancement of our associates by harnessing their unique contributions to grow and improve and our success is guided by a culture that values keeping it simple and making it matter. is an equal opportunity employer and is committed to providing an inclusive and professional workplace free from discrimination and harassment. All employment decisions at are based solely upon business needs job requirements and individual qualifications without regard to race color religion sex pregnancy and pregnancy related conditions gender identity gender expression national origin sexual orientation sexual and reproductive health decisions age marital status disability genetic information military or veteran status or any other legally protected provides reasonable accommodation to qualified individuals in accordance with applicable laws. If you need to inquire about an accommodation to assist with completing the application process please email.

J. Jill is strengthening its data analytics and master data management capabilities to support consistent enterprise reporting better business decisions and artificial intelligence. The Lead Data Architect owns the technical architecture for the Databricks Lakehouse master data management data governance and the AI capabilities built on that foundation.

• Develop and maintain the enterprise data analytics and AI architecture roadmap including target-state patterns for integration data analytics migration master data and data lifecycle management across cloud and on-premises platforms.
• Own the end-to-end Databricks Lakehouse architecture including medallion layers Delta Lake Unity Catalog workspace and cluster policies orchestration role-based access observability recovery and cost management.
• Design and build material components using PySpark and SQL; establish reusable patterns for ingestion change data capture transformation data products schema evolution testing and deployment.
• Define authoritative sources ownership publishing patterns and downstream responsibilities for customer product inventory vendor location and transactional data.

• Architect enterprise master data to consolidate data sources field definitions and values repository and distribution strategy customer identity resolution golden records householding customer history and appropriate lakehouse-as-CDP patterns.
• Own master data architecture for item customer vendor and location including canonical models match and merge logic survivorship hierarchy management and system-of-record decisions.
• Define the interface between the MDM platform and lakehouse so governed master data supports operational analytics and AI needs without duplicating business rules.

• Lead the enterprise data governance and stewardship forum with business data owners Legal Compliance Security and technology teams; define ownership decision rights approvals and escalation paths.
• Maintain a business glossary and metadata catalog covering definitions schemas lineage ownership classification and approved uses including data held or processed by third parties.
• Establish measurable standards for data accuracy completeness consistency timeliness uniqueness validity reconciliation and observability; route issues to accountable owners and address root causes.
• Ensure shared business intelligence measures use governed sources and consistent calculations.

• Define data classification access encryption masking consent retention and handling controls based on sensitivity business value and applicable requirements.
• Partner with Legal and Compliance to translate CCPA CPRA GDPR audit and retention requirements into verifiable technical controls including Unity Catalog policies and right-to-delete workflows.
• Coordinate data creation maintenance archival and deletion across production and third-party systems and define compliant nonproduction refresh and masking strategies.

• Define data contracts for Merch planning and allocation systems ecommerce product lifecycle management finance customer platforms and other strategic consumers including grain ownership cadence quality security reconciliation and change management.
• Design governed return paths for forecasts recommendations segments and other derived outputs from the lakehouse to operational systems.
• Define approved Databricks AI and GenAI patterns including AI/BI Genie retrieval-augmented generation feature management and model serving and establish a roadmap for customer segmentation propensity churn and lifetime value capabilities.
• Govern AI-assisted development through approved tools security and intellectual property controls code-review standards team enablement and measured productivity and quality improvements.

• Set architecture and engineering standards lead design and code reviews and make timely decisions on patterns exceptions technical debt and production outcomes.
• Mentor data engineers marketing technology engineers analysts and other contributors; provide hands-on leadership for work requiring architecture depth.
• Facilitate decisions with merchandising planning marketing finance digital commerce supply chain customer Legal and Compliance stakeholders explaining technical concepts clearly to business audiences.

Benefits Tailored for You.

• Bonus eligible
• 401(k) retirement plan with discretionary match and tuition reimbursement.
• Medical dental vision company paid LTD/STD and generous amount of paid time off.
• Office includes amenities such as a café fitness center free parking and Red Line shuttle.
• Generous associate discount; group discounts on auto pet and homeowner insurance.
• Discount Marketplace for travel consumer products food auto buying etc.
• Associate resource groups.

• Bachelors degree in computer science information technology data management statistics mathematics or a related field or equivalent professional experience.
• At least 10 years of experience in data architecture engineering management stewardship or related roles including at least 5 years with enterprise data architecture lakehouse platforms (eg Databricks Snowflake Microsoft Fabric) Data modeling SQL governance and data quality with demonstrated technical leadership through architecture decisions reviews mentoring stakeholder facilitation and direct delivery.
• At least 4 years of hands-on production Databricks experience at scale including ownership of a medallion or equivalent lakehouse architecture from design through operation.
• Strong PySpark and SQL skills with practical experience in Delta Lake Unity Catalog workflow orchestration production pipelines and change data capture from relational sources such as Oracle and SQL Server.
• Experience designing Retail product repository customer data platform identity resolution or MDM capabilities and working with ERP ecommerce customer product inventory and transactional data.
• Demonstrated knowledge of metadata lineage lifecycle management privacy and technical controls for access consent masking retention and deletion.

• Advanced Databricks data management governance or data quality certification.
• Retail fashion apparel or direct-to-consumer experience across merchandising inventory order management customer marketing and ecommerce data.
• Experience integrating Retail planning ECOM CDP and Finance platforms with a Lakehouse or enterprise data platform.
• Hands-on experience with MLflow feature stores model serving Azure data services and commercial MDM CDP or PIM/PLM platforms.

Physical Requirements

• Sedentary work prolonged periods of time working at a desk and on a computer.
• Ability to communicate information and observe details at close range.
• Light to moderate lifting may be required

The above statements are intended to describe the general nature and level of work being performed by associates assigned to this are not intended to be an exhaustive list of all responsibilities duties and skills required of this position.

At were redefining what it means to dress and live with ease. As a women-led Boston-based lifestyle brand with 200 stores nationwide we design thoughtful inspired apparel and accessories that celebrate the totality of all women. Were entering an exciting chapter of growth expanding our footprint reaching new customers and deepening long-standing relationships. Were seeking bold thinkers and doers to join us. With competitive pay and benefits a supportive culture and the chance to make a real impact this is more than a job its an opportunity to bring our ethos keep it simple make it matter to life in new and inspiring ways.