Director, Data Engineering

This role leads the data engineering practice, overseeing data engineering, analytics, machine learning, and data science initiatives across complex, large-scale projects. You will set technical direction, define standards, and ensure delivery excellence while actively mentoring and managing a team of engineers. Working closely with cross-functional stakeholders, you will drive architecture decisions, implement scalable data solutions, and apply your expertise to optimize client outcomes. This position blends technical leadership with hands-on execution, offering opportunities to influence strategy, advance engineering practices, and contribute to thought leadership in the data community. It is ideal for someone passionate about shaping a high-performing team and pushing the boundaries of data-driven innovation.

Lead and manage the data engineering team, providing mentorship, guidance, and professional development support. Architect and oversee the design of scalable, secure, and high-performance data systems across cloud environments (AWS, Azure, GCP) and platforms (Databricks, Snowflake). Define and enforce engineering standards, best practices, code review processes, testing, and data governance across projects. Plan, estimate, and execute data engineering initiatives, ensuring alignment with business and client objectives. Ensure security, privacy, and compliance of all data systems and pipelines. Act as a hands-on contributor, writing code, creating architecture diagrams, and reviewing technical designs. Stay current with AI, machine learning, and data engineering trends, incorporating new technologies and frameworks into practice. Support pre-sales activities, client presentations, and technical discovery as a subject matter expert. Contribute to community and thought leadership through publications, speaking engagements, and open-source projects.