Senior Data Engineer

APPLIED TECHNOLOGY GROUP INC•North Little Rock, AR

1d•Onsite

About The Position

We are seeking an experienced developer and data engineer to build and evolve data warehouse, data lake, lakehouse, and analytics solutions on the Microsoft data platform. The role is hands-on: designing data models, building ELT/ETL pipelines using the Medallion Architecture (Bronze / Silver / Gold), and delivering reliable, well-modeled data products on Microsoft Fabric and Azure SQL. As a data engineer you will build resilient data pipelines and create visibility into data quality issues, building client trust in their data and our ability to deliver dependable solutions. You will work with clients directly to understand their data sources, governance and security requirements, and the nature of their business. You will build data pipelines and position data for analytics matching our client’s current capabilities to query and leverage the data, but also design the scalable, secure architecture needed to set them up for the future and AI. Your expertise will be critical in shaping our clients' data strategy, driving architectural decisions, and mentoring team members to deliver scalable and reliable data solutions.

Requirements

5+ years experience with data engineering experience with at least 2 years on the Microsoft platform
Microsoft Fabric: OneLake, Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows Gen2.
Azure SQL: schema design, performance tuning, indexing, partitioning, and security.
Medallion Architecture: hands-on experience designing and building Bronze / Silver / Gold layers in Microsoft Fabric and Azure SQL.
T-SQL: advanced querying, stored procedures, window functions, performance optimization.
ELT / ETL pipeline development: ingestion, transformation, orchestration, and monitoring across the Bronze >> Silver >> Gold flow leveraging tools such as Azure Data Factory, Synapse Analytics, Azure Functions, Python and PySpark for Notebook development.
Data warehouse modeling: dimensional modeling (Kimball), slowly changing dimensions, conformed dimensions in the Gold layer.
Professional and Consulting Skills: Project Management: Document requirements, data flows, and system architecture Estimate effort accurately and communicate blockers or timeline risks proactively
Team player: Champion best practices for readable, maintainable, performant, and secure code Mentor junior engineers and share knowledge across the team Manage your time effectively and communicate technical trade-offs clearly
Detail oriented: ability to understand and business processes & data
Strong verbal and written English communication skills, along with adequate visual and auditory abilities (with or without aids), are essential.
Applicants must be authorized to work in the U.S. without company sponsorship.

Nice To Haves

Power BI and DAX for semantic models and reporting
Git-based source control and CI/CD for data pipelines (Azure DevOps or GitHub Actions)
Experience with Snowflake and Databricks
Experience with AEC data including Autodesk APS and Autodesk Forma
Familiarity with data governance, lineage, and cataloging (Microsoft Purview)
Experience with Microsoft Foundry and Azure AI Search
.NET or Python Django Web Application and RESTful API development
Azure & AWS infrastructure, Terraform

Responsibilities

Design and build data warehouse solutions on Microsoft Fabric and Azure SQL aligned to client business needs.
Implement and evolve the Medallion Architecture — Bronze (raw), Silver (cleansed/conformed), and Gold (business-ready) layers — on Fabric and Azure SQL.
Develop and maintain ELT/ETL pipelines that are reliable, observable, and easy to operate.
Model data for analytics and reporting — fact/dimension design, conformed dimensions, performant aggregates.
Collaborate with ATG technical leads and client stakeholders to translate requirements into delivery-ready solutions.
Own quality — testing, validation, documentation, and monitoring of pipelines and datasets.
Research and propose solutions independently; bring options and tradeoffs, not just questions.
AI Readyness: understanding of leveraging Fabric and Azure AI Search to tag data and make data available to Enterprise AI Orchestration platforms such as Foundry.
Consulting: Able to explain various data and analytic approaches to non-technical stakeholders. Able to conduct Bronze to Silver analysis and mapping and present to clients. Able to interview clients to design data marts for Gold.
Technical Leadership: Provide thought leadership on best practices for readable, maintainable, performant, and secure data pipelines.