Data Engineering Manager

* ** 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. You've built ETL/ELT systems that run reliably, scale, and are maintained over time.
* ** Experience leading and developing technical teams**—including coaching, mentorship, code review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.
* ** Strong SQL and Python programming skills
** with deep experience in PySpark for distributed data processing. SQL for analytics and data modeling;
Python/PySpark for pipeline development and large-scale transformations.
* ** Experience building data pipelines that serve AI/ML systems**, including feature engineering workflows, vector embeddings for retrieval-augmented generation (RAG), and data quality frameworks that ensure model reproducibility. Familiarity with emerging agent integration standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), and the ability to design data services and APIs that can be discovered and consumed by autonomous AI agents.
* ** Experience with modern data transformation tools**, dbt particularly. You understand modular SQL development, testing, documentation practices, and how to implement these at scale across teams.
* ** Experience with cloud data platforms and lakehouse architectures**—Snowflake, Databricks, Microsoft Fabric, and familiarity with open table formats (Delta Lake, Apache Iceberg). We're platform-flexible but Microsoft-preferred.
* ** Proficiency with workflow orchestration tools
** such as Apache Airflow, Dagster, Prefect, or Microsoft Data Factory. You understand DAGs, scheduling, dependency management, and how to design reliable orchestration at scale.
* ** Solid foundation in data modeling concepts**: dimensional modeling, data vault, normalization/denormalization, and understanding of when different approaches are appropriate for different use cases.
* ** Excellent communication and client management skills**—ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences.
* ** Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field** (or equivalent practical experience).
* ** Flexibility to work in a hybrid…