Azure Senior Data Engineer

Role Summary We’re seeking a seasoned Azure Data Engineer / Consultant to lead design, build, and operationalize cloud-native data solutions. You’ll partner with external clients—from discovery through Go-Live—to ingest, model, transform, and serve high-volume data using Synapse, Fabric, PySpark, and SQL. You’ll also establish best practices around CI/CD, security, and data quality within a medallion architecture. Required Skills (at least 4+ years of relevant experience - this is a senior-level role) • Ability to talk to the customer • Manage the delivery of an End-To-End Enterprise project • Fabric (or Synapse/ADF/Databricks) Data Engineering background • Data Warehousing experience • Basic understanding of Agentic AI Preferred Skills & Certifications: • DP-600, DP-700 or equivalent certification. • Experience with Azure Purview, Data Catalogs, or metadata management tools. • Familiarity with orchestration frameworks (ADF, Synapse Pipelines), Spark optimization (broadcast joins, partition pruning), and data-quality frameworks (Great Expectations, custom). • Prior consulting or client-facing engagements in enterprise environments. • Knowledge of BI tools (Power BI). What We Offer: • Opportunity to own and shape cutting-edge data solutions for diverse industries. • Collaborative, outcome-driven culture with career growth and skill-building opportunities. • Competitive compensation and benefits package.