MNTN seeks a Senior Engineering Manager to lead the Data Platform team responsible for building and maintaining core data infrastructure and tooling supporting analytics, data science, and data engineering. The role involves hands-on technical leadership, defining roadmaps with the Principal Engineer, collaborating cross-functionally, ensuring platform reliability and scalability, enforcing best practices, and growing a high-performing engineering team. Candidates must have 7+ years software engineering experience including 2+ years leading teams, experience with internal platforms or developer tools in data-intensive environments, strong knowledge of data infrastructure technologies (Airflow, Dagster, BigQuery, Snowflake, Kafka, SQLMesh), cloud proficiency (AWS or GCP), containers, and infrastructure-as-code. The position is full-time and remote, based in the United States.
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
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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
Ensure high reliability, scalability, and usability of the data platform covering ingestion, transformation, orchestration, observability, and governance
Establish and enforce best practices for data engineering and platform development
Provide hands-on technical leadership including design discussions, code reviews, and coding
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
Requirements
7+ years of software engineering experience, including 2+ years leading teams or projects
Experience building internal platforms or developer tools, ideally in a data-intensive environment
Strong understanding of modern data infrastructure including orchestration, warehousing, streaming, and transformation tools
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
Product mindset focused on solving real user problems
Willingness to be hands-on and contribute technically while building a high-performing team
