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See allResponsibilities:
- Owns organizational-wide data architecture, defining standards, patterns, and designs that our teams will implement.
- Reviews data-related designs and implementations across teams for architectural consistency, performance, and scalability.
- Produces reference implementations, proofs of concept, and hands-on guidance when teams encounter complex data engineering challenges.
Qualifications:
- 12+ years of professional data engineering or software development experience; self-motivated and driven to deliver impactful data products.
- Experience setting data architecture standards and providing technical oversight across multiple engineering teams.
- Experience with large-scale data systems and data warehousing solutions is highly preferred; possesses in-depth knowledge of the open source data ecosystem and how to incorporate it into scalable solutions.
Benefits:
- Full-time opportunity.
- Opportunities for growth and personal development within a highly dynamic team.
- Robust, low-cost benefit packages offered.
Tenna
They offer a connected equipment platform for managing mixed assets. The company values quality, continuous learning, and collaboration within a dynamic team environment.