Engineering Manager, Data Platform

Lead the Data Platform team in building reliable, scalable infrastructure and developer tooling for data engineering, analytics, and data science. Define the technical roadmap with engineering leadership, guide architecture and best practices, contribute hands-on through design reviews and coding, and partner cross-functionally to shape platform capabilities. Hire, coach, and develop engineers while managing stakeholder communication and delivery of self-service, observable, and governed data systems. The summary above was generated by AI

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television (and also why we were named one of Ad Age’s Best Places To Work in 2026.)

We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company’s Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/.

We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions-without compromising the human element that makes our company great.

So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we’re looking for to join us in our next stage of growth.

The Data Platform team builds the foundational data infrastructure and tooling that empowers data engineers, analysts, and data scientists across MNTN. The team owns the internal data platform as a product: enabling high-quality, self-serve, and scalable data workflows through well-designed systems and strong engineering practices, covering everything from ingestion and transformation to orchestration, observability, and governance.

We’re looking for an Engineering Manager to lead the Data Platform team, working closely with a Staff Engineer to define the roadmap, coordinate execution, and ensure the team delivers high-leverage tools and systems for its internal customers. This is a hands-on engineering leadership role. The ideal candidate stays close to the code, contributes to key projects, and sets a strong technical bar while supporting and growing a team of engineers.

What you’ll do

• Lead the Data Platform team in designing, building, and maintaining core infrastructure and tooling to support analytics, data science, and data engineering workloads.
• Partner with the Principal Engineer to define the team’s technical roadmap and architecture.
• Collaborate cross-functionally with data science, analytics, product, and engineering teams to understand use cases and shape platform features accordingly.
• Ensure high reliability, scalability, and usability of the data platform-covering areas like data ingestion, transformation, orchestration, observability, and governance.
• Establish and enforce best practices for data engineering and platform development.
• Provide hands-on technical leadership: participate in design discussions, conduct code reviews, and contribute code as needed.
• Hire, coach, and develop engineers, fostering a culture of technical excellence, ownership, and continuous improvement.
• Manage communication around the platform roadmap, priorities, and ongoing work to stakeholders across the business.

What success looks like

• A self-serve data platform that internal teams trust and adopt without heavy hand-holding
• Reliable, well-governed data infrastructure with strong observability and low incident rates
• Clear technical roadmap, delivered predictably in partnership with the Staff Engineer
• A growing, high-performing team with strong engineering practices and technical ownership
• Strong stakeholder confidence in the platform’s direction and reliability

• 7+ years of software engineering experience, including 2+ years leading teams or projects.
• Demonstrated experience building internal platforms or developer tools, ideally in a data-intensive environment.
• Strong understanding of modern data infrastructure: orchestration (e.g. Airflow, Dagster), warehousing (e.g. BigQuery, Snowflake), streaming (e.g. Kafka), and transformation tools (e.g. SQLMesh).
• Proficiency with cloud infrastructure (AWS or GCP), containers, and infrastructure-as-code.
• Ability to lead cross-functional workstreams and translate user needs into robust platform capabilities.
• A product mindset, focus on solving real user problems, not just building technology.
• Willingness to be hands-on and contribute technically while building a high-performing team.