Data Warehouse and Business Intelligence Architect

Jersey Mike's
United States
6 days ago
Apply on www.thejobnetwork.com
Prepare application

Role details

Contract type
Franchise
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Excel Application Programming Interfaces (APIs) Microsoft Azure Business Intelligence Development Software as a Service Information Systems Continuous Delivery Continuous Integration Data Architecture Information Engineering Data Governance Data Integration
+30 more
Extract Transform Load (ETL) Data Security Dataspaces Data Systems Data Warehousing Dimensional Modeling Document-Oriented Databases JSON Python (Programming Language) Meta-Data Management Performance Tuning Power BI Standard Sql SQL Databases Transact-SQL Parquet Data Processing Azure Data Factory Data Strategy Git Microsoft Fabric Data Lakes Pyspark Information Technology Data Analytics Restful APIs Azure Synapse Analytics Webhooks Software Version Control Data Pipelines

Job description

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., 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 (OneLake, 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 DevOps, 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.

Requirements

  • 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, OneLake, and Lakehouse architecture.
  • Experience integrating REST APIs, webhooks, and partner data.
  • Experience with Delta Lake / Parquet optimization (Z-ordering, partitioning, compaction)
  • Experience of Dimensional modeling (Kimball) and medallion architecture (bronze/silver/gold).
  • Strong understanding of data governance, metadata management, and data security.
  • Hands-on experience implementing CI/CD for data solutions using Git / Azure DevOps.
  • Strong analytical, problem-solving, and communication skills.
  • Self-starter with ability to work independently and manage multiple priorities.

Preferred Skills:

  • Experience in retail or QSR (Quick Service Restaurant) data ecosystems is a plus
  • Experience with dbt, Purview, and Power BI performance tuning.
  • Excellent documentation and stakeholder communication skills.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.thejobnetwork.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

2:50 min

How Parquet metadata enables efficient data reading

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

Videos

See all

Related articles

See all