As a Senior Software Engineer on the Data Platform team, you will design, build, and own the foundational systems that generate, track, and serve key business and client success metrics across MNTN. You'll architect the infrastructure that turns billions of raw events into reliable, accessible data products, and you'll be a technical leader who helps shape how teams across engineering and operations build on top of that platform to explore and realize new opportunities.

What you'll do

• Design and build scalable, reliable data platform services and infrastructure that power operations, analytics, and product features across MNTN.
• Become a go-to expert on the MNTN ad platform and the data systems, pipelines, and processes that inform engineering and operations.
• Architect and own ETL/ELT systems that transform billions of raw data points daily into high-quality, low-latency data available across databases and data warehouses.
• Build the frameworks, tooling, and abstractions that let other engineers and teams self-serve data reliably and confidently.
• Establish and enforce data quality, observability, and SLA standards including the visualization, reporting, and alerting needed to surface performance, data quality, trends, and opportunities.
• Drive technical design and architecture decisions, weighing tradeoffs around scalability, cost, reliability, and maintainability.
• Lead incident investigation and resolution for critical data systems, and improve the platform to prevent recurrence.
• Mentor other engineers, raise the bar on code quality and engineering practices, and influence technical direction beyond your immediate team.

What success looks like

• In your first few months, you've developed deep context on the MNTN ad platform and data systems, and you're independently shipping improvements to pipelines and infrastructure.
• The data platform you build and own is reliable, observable, and trusted — teams across the org can self-serve high-quality data without bottlenecks, and data incidents are rare and quickly resolved.
• You've raised the technical bar through architecture decisions, code review, and mentorship, leaving the codebase and the engineers around you stronger.
• Your work has measurably improved how the business operates — faster insights, higher data quality, and new capabilities that unlock opportunities for product, operations, and clients.

What you'll bring

• 5+ years of software engineering experience, with a strong focus on data platforms, data infrastructure, or backend systems at scale.
• Proven ability to design and build distributed, fault-tolerant systems and data pipelines from the ground up.
• Strong programming skills in Python, Java, or Go, and solid software engineering fundamentals (algorithms, systems design, testing).
• Deep experience with SQL, data modeling, and working with large, complex datasets.
• Hands-on experience with data warehouse technologies and designing ETL/ELT architectures.
• Experience with data processing frameworks such as Spark.
• Proficiency with modern software tooling and practices: Git, CI/CD pipelines, Linux, and orchestration tools such as Airflow.
• Experience building and operating systems in a cloud environment such as AWS, Azure, or GCP.
• A track record of technical leadership driving architectural decisions, mentoring engineers, and partnering across teams.
• Strong written and verbal communication skills, with the ability to convey complex technical topics to both technical and non-technical audiences.