Senior Data Platform Engineer

Ontra • San Francisco, CA

9d • $210,000 - $294,000 • Hybrid

About The Position

Ontra is seeking a Senior Data Platform Engineer reporting to our Senior Manager, Data Engineering on our Data Team. This role is a great opportunity for someone excited to create and own a data engineering roadmap and continue to develop foundational data engineering practices at Ontra. Collaborating with product and engineering teams, you will translate other teams' requirements into actionable engineering solutions with a focus on rapid iteration. A successful Senior Data Engineer will communicate effectively, both written and verbal, with engineers and business stakeholders. If you are passionate about data, especially data architecture and modeling, we'd love to get to know you! To foster team connection and collaboration, this role requires being present in either our Santa Barbara or San Francisco office up to once a quarter for team meetings and off-sites. As such, we are only considering candidates who are currently based in California.

Requirements

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

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.

Benefits

• Remote-first working policy, with office hubs in SF, NYC, Santa Barbara, and London
• Twice yearly team offsites for in-person collaboration
• Paid flexible time off policy
• Paid parental leave and benefits
• Employer-supported retirement contributions, varying by country
• Monthly phone and internet reimbursement
• Company-sponsored LinkedIn Learning accounts, department budgets for professional development, and robust onboarding program
• Various options for medical, dental, and vision insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed