Design and implement modern data platforms leveraging Microsoft Fabric and Databricks
Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products
Translate business and analytical requirements into technical designs and data models
Develop and maintain semantic models that enable performant reporting and self-service analytics
Partner with analytics and business teams to deliver trusted datasets and dashboards
Ensure data quality, reliability, and usability across the analytics platform
Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals

Bachelor's degree from an accredited university
4+ years of experience in data engineering, analytics engineering, or data platform consulting
Hands-on experience with Microsoft Fabric and/or Databricks in production environments (experience with both strongly preferred)
Strong SQL skills, including performance tuning and optimization
Experience designing data models for analytics (star schemas, semantic models, lakehouse patterns)
Experience working in cloud data platforms (Azure preferred)
Ability to work independently in a client-facing consulting role

Unlimited time off
100% covered health insurance encompassing medical, dental, and vision plans for you and your family
Competitive 401(k) with a 4% match
Educational assistance
Tech stipend
Discounts on various goods and services
Growth trajectory with professional development opportunities

Data Engineer, Azure, Fabric, Databricks

Key skills