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