DWBI Architect

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Full-Time Tinton Falls, NJ, US

8 days ago Requisition

Salary Range: $ To $ Annually

Company Description

Jersey Mike’s is a fast-casual sub sandwich franchise with over 3,300 locations nationwide, offering fresh sliced subs, grilled-to-order and freshly baked bread. Established in 1956, the company is committed to providing delicious food made with premium ingredients and giving back to the communities it serves. Jersey Mike’s was ranked #1 in 2026 America’s top franchises by Entrepreneur Magazine and earned recognition in Nation’s Restaurant News, highlighting its rapid growth and dedication.

With a history of philanthropy, the brand gives back through initiatives like its Annual Day of Giving and has raised millions for local charities. Jersey Mike’s is driven by its commitment to quality, community, and making a difference.

Position Summary

The Data Warehouse and Business Intelligence Architect will play a key role in designing and implementing Jersey Mike’s enterprise data platform CDO (Central Data Office) on Microsoft Fabric (Azure). This individual will collaborate closely with business, analyst, and IT teams to architect and deliver modern data solutions that enable actionable insights across Finance, Operations, Supply Chain, Business Development, and Marketing.

The Architect will be responsible for building the foundational data warehouse, data engineering, data pipelines, and data models that power our analytics ecosystem. The ideal candidate will have a strong technical background in Microsoft Fabric, Azure Data Services, SQL, Python, and data modeling, with hands‑on experience integrating data from multiple source systems (using flat files, APIs, on‑prem, and SaaS). This position reports directly to the Director of Data & Analytics.

Key Responsibilities

Responsibilities include, but are not limited to, the following (other responsibilities may be assigned as needed to support business growth):

• Design end to end data architecture leveraging Microsoft Fabric capabilities (One Lake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2)
• Design robust data models, schema definitions and ensure the data warehouse can support complex analytical workloads.
• Develop and maintain data integration to extract and transform data from multiple systems including flat files (CSV, Excel, JSON), APIs, partner data feeds, and third-party SaaS platforms.
• Ensure data quality, security, and compliance across all datasets, implementing Purview for lineage, classification, and access control.
• Establish and document data architecture standards, including folder structure, naming conventions, version control, CI/CD via Azure Dev Ops, and promotion workflows.
• Drive continuous improvement in data platform reliability, cost efficiency, and governance through automation and monitoring.
• Participate in data strategy reviews, architecture design sessions, and cross-departmental planning.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or related field;
  Master’s preferred.
• 7+ years of experience in data engineering, data architecture, or BI development, including 2+ years with Microsoft Fabric or Azure Synapse.
• Proven experience designing data warehouses, dimensional models, and ETL/ELT pipelines.
• Proficient in SQL (T-SQL) and Python/PySpark for data processing and automation.
• Experience with Power BI, Azure Data Factory or Fabric Pipelines, One Lake, and Lakehouse architecture.
• Experience integrating REST APIs, webhooks, and partner data.
• Experience with Delta Lake / Parquet optimization (Z-ordering, partitioning, compaction)
• Experience…