Technical Lead - Data Engineer

9 hours, 8 minutes ago
Contract
Senior
Software Development
ProArch

ProArch

At ProArch, we help our clients accelerate growth and mitigate risk with IT services, cybersecurity services, application development, cloud computing, and data analytics. ProArch was founded on the belief that a future where change is ‘business as usu...

Internet Software & Services
251-1K
Founded 2006

Description

  • Design and implement end-to-end data pipelines using Microsoft Fabric components such as Data Factory, Lakehouse, and Notebooks.
  • Build scalable data architectures using medallion Bronze/Silver/Gold patterns and lakehouse models.
  • Develop and optimize ETL/ELT pipelines for structured and semi-structured data.
  • Integrate data from multiple enterprise sources including SQL Server, APIs, and cloud platforms.
  • Design semantic models and data models to support reporting and analytics.
  • Build optimized facts, dimensions, and relationships for Power BI reporting.
  • Enable Direct Lake and real-time analytics scenarios while improving reporting performance.
  • Work directly with US stakeholders to gather requirements, run solution walkthroughs, and discuss designs.
  • Translate business requirements into scalable technical solutions and provide status updates, demos, and technical input.
  • Define Fabric-based data architectures and apply data governance, data quality, security, performance, and cost best practices.

Requirements

  • 5–10 years of experience in data engineering.
  • Minimum 2+ years of experience with Microsoft Fabric or a modern analytics stack.
  • Strong experience with Microsoft Fabric or Azure Data Platform.
  • Hands-on experience with Fabric Lakehouse, Data Factory, and Dataflows/Pipelines.
  • Strong experience with Power BI, including data modeling, DAX, and performance tuning.
  • Proficiency in SQL, Python, and PySpark.
  • Experience with dimensional modeling and star/snowflake schemas.
  • Experience building scalable data pipelines and distributed processing systems.
  • Experience with Azure Data Factory, Synapse, or Databricks.
  • Experience with CI/CD, version control, and deployment pipelines.
  • Demonstrated client-facing experience with US stakeholders.
  • Preferred experience with Direct Lake and real-time intelligence scenarios.
  • Preferred exposure to API integrations and application-level data consumption.
  • Preferred certifications in Microsoft Azure, Fabric, or Power BI.
  • Preferred experience in healthcare, retail, or finance domains.
  • Preferred exposure to AI/ML integration within the Fabric ecosystem.
  • Preferred experience in consulting or delivery-led environments.
  • Preferred familiarity with Agile delivery models.

Interested in this position?

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