Data Platform Engineering Manager

Data Platform Engineering Manager Cary, NC Job Details Full-time $180,000.70 - $200,000.70 a year 14 hours ago Qualifications Stakeholder engagement Managerial strategic planning Strategic management Databricks Computer Science Data lake Cloud data warehouses Kubernetes 5 years Engineering Spark System design Scalable systems .NET Snowflake Databases Team development Data Architecture Design (Architecture design skills) Bachelor's degree in engineering Bachelor's degree Continuous improvement Team management Mentoring Scalability System architecture design S3 Kafka Distributed computing Senior level Bachelor's degree in computer science Leadership Data warehouse Documentation reviews Stakeholder management

Full Job Description Position:

Data Platform -

Engineering Manager Location:

Onsite in Cary, NC w/ potential for hybrid after 6 months

Type:

Full Time Role Job Requirements :

Lead, manage, mentor, and grow a team of senior and principal engineers Foster an inclusive, collaborative, and feedback-driven engineering culture Drive continuous improvement in the team's processes, delivery, and impact Collaborate with stakeholders in engineering, data science, and analytics to shape and communicate the team's vision, strategy, and roadmap Bridge strategic vision and tactical execution by breaking down long-term goals into achievable, well-scoped iterations that deliver continuous value Ensure high standards in system architecture, code quality, and operational excellence 5-7+ years of engineering management experience leading high-performing teams in data platform or infrastructure environments Proven track record navigating complex systems, ambiguous requirements, and high-pressure situations with confidence and clarity Deep experience in architecting, building, and operating scalable, distributed data platforms Strong technical leadership skills, including the ability to review architecture/design documents and provide actionable feedback on code and systems Ability to engage deeply in technical discussions, review architecture and design documents, evaluate pull requests, and step in during high-priority incidents when needed — even if hands-on coding isn't a part of the day-to-day Hands-on experience with distributed event streaming systems like Apache Kafka. Familiarity with OLAP databases such as Apache Pinot or ClickHouse Proficient in modern data lake and warehouse tools such as S3, Databricks, or Snowflake Strong foundation in the .NET ecosystem, container orchestration with Kubernetes, and cloud platforms, especially AWS Experience with distributed data processing engines like Apache Flink or Apache Spark is nice to have

Education Required :

Completed bachelor's degree in CS or related Engineering field.

Job Type:

Full-time Pay:

$180,000.70 - $200,000.70 per year

Work Location:

In person