Data Platform & Engineering Leader

OneTrust; Atlanta (GA); Hybrid; USD 154,000 - 231,000; Full time

Benefits offered by this job

Health coverage

Flexible PTO

Equity RSUs

Performance bonus opportunities

Retirement plan

Parental leave

Career development

Privacy certification fees

Job summary

OneTrust is seeking a Senior Manager, Data Engineering and Platform to lead a data engineering team responsible for architecture, platform design, and analytics solutions. You will mentor engineers while hands-on contributing to data pipelines and data models.

You will collaborate with data architects, security, and analytics teams to ensure scalable, trusted data across BI and data science initiatives. This role emphasizes leadership, architecture, and hands-on execution.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of professional data engineering experience, including incident commander during outages.
• Experience in data architecture, modeling, and ETL pipelines.
• Experience with data warehousing, fast-paced growth environments, and distributed teams.

Responsibilities

• Lead and mentor a high‑performing data engineering team.
• Design platform architecture for BI and data science solutions.
• Partner with data architects, analysts, and security teams on data governance.

Skills

Data engineering

Data warehousing

Data architecture

SQL

Python

ETL

AI in data engineering

Distributed teams

Leadership

Incident commander

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

Snowflake

Databricks

dbt

Airflow

ETL tools

Job description

OneTrust is seeking a Senior Manager, Data Engineering and Platform to lead a data engineering team responsible for architecture, platform design, and analytics solutions. You will mentor engineers while hands-on contributing to data pipelines and data models.

You will collaborate with data architects, security, and analytics teams to ensure scalable, trusted data across BI and data science initiatives. This role emphasizes leadership, architecture, and hands-on execution.