Why this role stands out
Embark on a career-defining journey as a Data Engineer, where you'll play a pivotal role in architecting and launching an innovative Azure lakehouse environment, driving impactful data solutions for analytics and AI/ML. This hybrid role is perfect for experienced data professionals with strong Azure and data modeling skills who thrive in collaborative, growth-oriented settings and are eager to shape the future of data. Apply now to leverage your expertise and advance your career in a dynamic and forward-thinking company.
Quick overview
Job description
Database Engineer (Sandy Springs, GA)
Seeking a Data Engineer to help build and launch a new Azure-based lakehouse environment. This role focuses on designing scalable data pipelines, implementing lakehouse architecture, and delivering clean, governed datasets for reporting, analytics, and AI/ML.
You'll work across Azure and Microsoft Fabric (OneLake, Data Factory, Power BI, Databricks, Synapse) to create ingestion patterns, curated data models, semantic layers, and AI-ready datasets. Responsibilities include ensuring data quality, lineage, security, and governance; optimizing pipeline performance; automating workflows with CI/CD; and partnering closely with business, analytics, and AI teams.
Ideal candidates have 4+ years of hands-on data engineering experience, strong Azure/Fabric expertise, Spark/PySpark/SQL/Python skills, and a track record of contributing to new data platform or lakehouse builds. Experience preparing governed datasets for AI/ML and building dimensional/semantic models for Power BI is highly valued. Strong communication skills and comfort working in broad-ownership or small-team environments are preferred.
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