Consultant, Data Engineering

What You'll Do

· Partner with client stakeholders to understand business priorities, uncover root causes, define requirements, and translate complex needs into actionable data solutions.

· Lead problem-solving activities across ambiguous and complex environments, evaluating options, risks, dependencies, and trade-offs.

· Design, build, test, and support scalable data pipelines, lakehouse solutions, and curated data products using Microsoft Fabric and Azure Databricks.

· Develop reliable data transformations and engineering components using Python, PySpark, and SQL.

· Facilitate discovery sessions, technical workshops, backlog refinement, solution walkthroughs, and stakeholder updates.

· Manage stakeholder expectations through clear communication, proactive issue management, and transparent delivery reporting.

· Apply sound engineering practices for data quality, observability, security, governance, performance optimization, and operational support.

· Contribute to architecture decisions, estimates, delivery plans, technical documentation, and client presentations.

· Collaborate with architects, analysts, data scientists, AI engineers, and delivery teams across onshore and offshore environments.

· Support and mentor junior team members through technical guidance, reviews, and knowledge sharing.

· Explore opportunities to integrate AI engineering capabilities into data solutions, including Microsoft Foundry and Microsoft Copilot Studio.

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