Data Engineering Manager

Relativity is expanding its data engineering capabilities to support advanced analytics, scalable data processing, and modern lakehouse architecture. The company invests substantially in data lake technology and distributed systems to support future growth and advanced analytics.

• 2+ years leading data engineering or software engineering teams.
• Hands-on experience building and operating large-scale data processing systems.
• Competence with Python, SQL.
• Knowledge of lakehouse technologies such as Delta Lake or Apache Iceberg.
• Familiarity with modern data platforms such as Databricks or Snowflake.
• Solid understanding of software engineering best practices and CI/CD automation.
• Strong communication, collaboration, and decision-making skills.

Nice to have:

• Experience with distributed data processing frameworks (e.g., Spark, Flink).
• Experience building self-service analytics or internal data platforms.
• Understanding of AI/ML workflows and data requirements for model development.

• Build, mentor, and develop a strong data engineering team, supporting their growth and fostering a collaborative, learning-oriented environment.
• Encourage a culture focused on continuous improvement and technical excellence.
• Support the team in defining and evolving engineering standards that promote high-quality, reliable, and maintainable software.
• Contribute hands-on to data pipelines, platform engineering, and architectural discussions.
• Ensure systems are scalable, efficient, observable, secure, and aligned with governance and compliance expectations.
• Collaborate with Product, Analytics, and Applied Science teams to shape roadmaps and deliver impactful capabilities.
• Communicate clearly with stakeholders, providing transparency on priorities, risks, and progress.