Senior Data Platform Engineer Finance San Francisco, California

Strength in Trust

One Trust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, One Trust is once again redefining what responsible innovation looks like.

One Trust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse sted by thousands of organizations worldwide, One Trust is shaping the future where trusted data becomes a transformative force for business and society.

Senior Data Platform Engineer will be part of an innovative Enterprise data team that enables Marketing, Product, Sales, and Finance to explore data and take actions that differentiate us from our competition. You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale.

• You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale.
• Build and automate modern data platforms (AWS, AZURE, Snowflake) with native technologies, deploy applications, and provision of infrastructure.
• Perform Administration, Maintenance and provide support to production systems (Snowflake, Fivetran, DBT, Power BI, Airflow)
• Build and maintain CI/CD pipelines and infrastructure as code (IaC) practice across the platform for safe and reproducible deployments.
• Design, build and implement automation framework for scale that deliver data with measurable quality under the SLA
• Drive technical conversations with stakeholders to understand the platform's needs and come up with a provisioning strategy.
• Work effectively using scrum with multiple team members to deliver value effectively.
• Reduce technical debt over time with root cause identification, issue resolution and promote best practices across the platform

This hands‑on technical role demands excellent knowledge and can demonstrate best practices in the industry.

• Bachelor's or master's degree in computer science, Engineering or related field
• 5+ years of overall experience and 3+ years of experience with very large-scale data warehouse projects.
• Strong experience in SQL, knowledge of dimensional modeling, supporting data warehouse, scaling, optimizing and performance tuning ETL pipelines
• 3+ years of experience with Python and manipulation of various data formats for extraction and transformation
• 3+ years of experience with Snowflake, Airflow, ETL/Integration tools administration.
• Hands‑on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis)
• Experience evaluating new tools and enriching existing architecture
• You are a self‑starter, hands‑on technical expert who continuously gather and synthesize high‑impact needs from business partners, design and implement the appropriate technical platform solution, and effectively communicate about deliverables,timelines and tradeoffs

For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job‑related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.

Salary Range

$104,325 — $ USD

We are embracing an office‑first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific…