Data Engineering Manager

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.

Join our team as the expert you are now and create your future.

We're seeking a Data Engineering Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead the design, development, and delivery of data infrastructure that powers intelligent systems across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.

Managers play a vibrant, integral role ir invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team—sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.

This isn't a maintenance role or a ticket queue—you'll own the full data lifecycle from source integration through analytics-ready delivery, while leading and developing a team of data engineers. You'll build systems that matter: real-time data architectures that feed mission-critical ML models, transformation layers that turn messy enterprise data into trusted datasets, and orchestration systems that ensure reliability  clients are Fortune 500 companies looking for partners who can engineer and lead, not just advise.

The variety is real. In your first year, you might lead a lakehouse implementation for a global manufacturer's IoT data, oversee a real-time streaming architecture for a financial services firm's trading analytics, and architect a data mesh strategy for a utility company's distribution systems—all while developing the next generation of data engineering talent  you thrive on solving complex data challenges, shipping production systems, and building high-performing teams, this role is for you.

• Lead and mentor junior data engineers
  —provide technical guidance, conduct code reviews, and support professional development. Foster a culture of continuous learning and high-quality engineering practices within the team.
• Manage complex multi-workstream data engineering projects
  —oversee project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence.
• Design and architect end-to-end data solutions
  —from source extraction and ingestion through transformation, quality validation, and delivery. Make key technical decisions and own the overall data architecture.
• Lead development of modern data transformation layers using dbt
  —implementing modular SQL models, testing frameworks, documentation, and CI/CD practices that ensure data quality and maintainability at scale.
• Architect lakehouse solutions using open table formats (Delta Lake, Apache Iceberg) on Microsoft Fabric, Snowflake, and Databricks—designing schemas, optimizing performance, and implementing governance frameworks.
• Establish Data Ops best practices
  —define and implement CI/CD pipelines for data assets, data quality monitoring, observability, lineage tracking, and automated testing standards to ensure data infrastructure remains reliable in production.
• Serve as a trusted advisor to clients
  —build long-standing partnerships, understand business problems, translate data requirements into technical solutions, and communicate architecture decisions to both technical and executive audiences.
• Contribute to business development
  —participate in business development activities, develop reusable assets and methodologies, and help shape the technical direction of Huron's data engineering capabilities.

• 5+ years of hands‑on experience building and deploying data pipelines in production
  —not just ad‑hoc queries and exports.…