Data Platform Engineer Job at OneTrust (New York)

Job Description

OneTrust’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, OneTrust is once again redefining what responsible innovation looks like. OneTrust, 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 at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.

Job Responsibility

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

Requirements

Bachelor's or master's degree in computer science, Engineering or related field
3+ 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
1+ years of experience with Python and manipulation of various data formats for extraction and transformation
1+ 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

What we offer

comprehensive healthcare coverage
flexible PTO
equity RSUs
annual performance bonus opportunities
retirement account support
14+ weeks of paid parental leave
career development opportunities
company-paid privacy certification exam fees

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Data Platform Engineer

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