Senior Manager, Data Engineering

Strength in Trust 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. The Challenge As Senior Manager, Data Engineering and Platform you will be a people leader of a team of Data Engineers responsible for creating platform and data engineering architecture for business intelligence and data science solutions. This role will have a substantial focus on coaching and people management alongside a strong individual contributor component in hands-on data engineering. Your Mission You will work closely with other team members like data architects and business analysts to understand what the business is trying to achieve, move data from source to target, and design optimal data models. Develop and adhere to standard methodologies: platform architecture, data engineering, data quality, analysis, validation to ensure the team provides quality work to company and build trust with analytics solutions. Propose and socialize data architecture to enable OneTrust business analytics. Drive technical conversations with stakeholders to explore all facets of problem and solution. Solve immediate production issues with an eye to solve things for long-term. Work with vendors and security teams for appropriate data controls. Partner with cross functional teams to align on product usage data, business data, development standards and overall data strategy. Design and build facts, dimensions, snapshots, SCDs in Snowflake/Databricks using dbt/airflow/elt tools. Maintain robust, trusted data models. Hire and retain top data engineering talent. Assist in the growth of each employee through coaching and career development activities. You Are Seeking someone who can leverage a deep technical understanding of data engineering, data warehousing, and data architecture while leading and motivating an on-call team of engineers in a challenging, dynamic environment. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10+ years of professional data engineering experience. Acting as an incident commander during critical outages. Extensive experience with data architecture, tool evaluations, data modeling, and building ETL…