Who you are
Metropolis is seeking a Director, Data Platform Engineering to lead and grow our data organization. In this role, you will own the strategy, architecture, and execution of a modern, scalable data platform that serves as a critical foundation for AI-driven analytics, decision-making, and business intelligence across the company. You will directly oversee three high-performing teams — Data Engineering, Analytics Engineering, and BI Development — and work closely with cross-functional leaders in Product, AI/ML, Finance, and Operations to ensure our data platform serves as a strategic differentiator for the business.
What we’re looking for
- 8+ years of experience in data engineering, analytics engineering, or data infrastructure roles
- 3+ years of experience managing multi-team or multi-functional data organizations Deep expertise in modern data stack tools and concepts, including ELT pipelines, cloud data warehouses, dbt, orchestration frameworks, and data modeling
- Proven track record of building and scaling data platforms that support AI/ML workloads, including experience with feature stores, vector search, or ML pipeline infrastructure
- Strong experience with at least one major cloud data platform such as Snowflake, BigQuery, or Databricks
- Demonstrated ability to recruit, develop, and retain high-performing engineers and tech leads
- Excellent communication skills with the ability to translate complex technical concepts for business audiences and vice versa
While not required, these are a plus
- Experience with LLM integration and generative AI infrastructure such as RAG pipelines, embedding pipelines, and prompt evaluation frameworks
- Familiarity with data mesh or data product frameworks Experience in a fast-growth startup or scale-up environment
- Background in analytics, business intelligence, or data science in addition to engineering
For International jobs
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. #LI-[First Name Initial][Last Name Initial]1 #LI-Onsite
Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.