Senior Data Platform Engineer

Ontra is the leader in AI-powered solutions for the private markets, automating critical workflows across the fund lifecycle. They are seeking a Senior Data Platform Engineer to create and own a data engineering roadmap, collaborating with product and engineering teams to deliver actionable engineering solutions.

Responsibilities:

• Build complex data processing pipelines, tooling, and infrastructure in support of product, analytics, and ML initiatives
• Be responsible for the infrastructure of Data Platform including Snowflake, Airflow, CI/CD and Kubernetes deployments, as well as other aspects of our infrastructure
• Solve problems with a mindset toward rapid iteration and scale
• Deliver solutions for our Product and GTM Data Teams, and business end-users, while establishing frameworks to boost efficiency

Requirements:

• 5+ years core data engineering experience, including data platform, data infrastructure, event logging, permission management, and data governance
• Strong understanding of using Python and SQL to build great data warehouses, with the ability to follow engineering best practices with minimal guidance
• Excellent communication with technical and nontechnical stakeholders, and proactively shares knowledge across functions to generate outcomes
• Looks at data to drive a path forward in technical design of data infrastructure
• Constantly researches new data engineering and driven to grow technically
• Works well in ambiguous situations, excited to identify problems and provide solutions, even when first-order scientific approaches fail
• Specific technical experience with Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog and AWS