This Jobot Job is hosted by: Tracy Hann
Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume.
Salary: $150,000 - $175,000 per year
A bit about us:We're looking for a hands-on Data Engineering Manager to lead a technical engineering team while helping shape the future of our data platform. This is a player/coach role where you'll split your time between technical leadership, architecture, and mentoring a distributed team of engineers.
If you enjoy solving complex data challenges, building scalable platforms, and leading engineers without losing touch with the technology, let's have a conversation!
Why join us?In addition to great benefits and generous PTO, you will:
- Shape the future of the company's data platform by designing the architecture and technology roadmap
- Drive AI initiatives by building the scalable data infrastructure that enables advanced analytics and artificial intelligence across the business.
- Modernize and innovate by improving data pipelines, implementing best practices, and introducing new technologies that drive efficiency and reliability.
- Join at an exciting stage where you'll help build the next generation of the company's data platform rather than simply inheriting a mature environment.
Job Details- Lead and mentor a team of Data Engineers, providing technical guidance, coaching, and day-to-day leadership.
- Design and evolve the company's enterprise data architecture, ensuring it is scalable, secure, and built for long-term growth.
- Build and optimize modern data pipelines that move data reliably across multiple business systems.
- Drive the organization's migration and adoption of a modern cloud-based data platform while improving existing Azure-based data solutions.
- Partner closely with AI engineers and business leaders to deliver the data infrastructure needed for analytics and AI initiatives.
- Establish engineering standards, best practices, and governance around data quality, modeling, documentation, and deployment.
- Make architectural decisions around data modeling, medallion architecture (Bronze/Silver/Gold), semantic models, and platform scalability.
- Lead sprint planning, project execution, and delivery using Azure DevOps while balancing multiple priorities.
- Work directly with business stakeholders to understand requirements and translate them into practical technical solutions.
- Identify opportunities to improve performance, reliability, automation, and operational efficiency across the data platform.
What We're Looking For
- Experience leading Data Engineering teams
- Strong hands-on experience building modern cloud-based data platforms, preferably within Azure
- Experience with enterprise data warehousing, lakehouse, or cloud analytics environments
- Strong understanding of data architecture, ETL/ELT pipelines, dimensional modeling, and data integration
- Strong SQL skills and experience with modern data engineering technologies
- Knowledge of layered data architectures, semantic modeling, and enterprise data governance
- Experience with Agile development and project management tools
- Strong communication skills with technical and non-technical stakeholders
- Ability to balance architecture and strategy with hands-on technical problem-solving
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
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