Sr. Manager, Data Platform Engineering & Operations
About The Position
The Sr. Manager, Data Platform Engineering & Operations is responsible for the platform engineering, operations, reliability, supportability, and scalability of data infrastructure and data pipelines. This role requires expertise in data platform engineering practices, operational excellence, strategic planning, and a technical foundation in AWS stack, Python, and SQL. The position involves making decisions on technical stacks, implementation strategies, operational practices, strategic roadmaps, and team development. The role drives strategic initiatives to enhance reliability, scalability, efficiency, meet SLAs, reduce costs, promote automation, and collaborates cross-functionally to improve data workflows essential to the company's analytics and strategic business goals. This role leads global teams responsible for the company’s data platforms and operations. Approximately 80% of the duties focus on platform and pipeline engineering and operations, incident management, operational excellence, system monitoring, automation, observability, and cross-functional collaboration and strategic improvement. The remaining duties focus on team leadership, development, and hiring.
Requirements
- Master’s degree or equivalent in Computer Science, Information Systems or related field of study
- 4 years of experience in any combination of data operations, data engineering, and data analyst positions
- Will accept a Bachelor’s degree or equivalent in Computer Science, Information Systems or related field of study and 6 years of progressive experience in any combination of data operations, data engineering, and data analyst positions in lieu of a Master’s degree or equivalent and 4 years of experience.
- 2 years of experience leading technical teams.
- Designing, building, and optimizing scalable data pipelines and microservice architectures.
- Managing production support processes, SLAs, on-call rotations, and incident escalations.
- Production support for data platforms and ELT (Extract, Load, Transform)/ETL (Extract, Transform, Load) pipelines.
- SQL, Python, and data engineering frameworks (including dbt).
- Implementing monitoring, observability frameworks, and operational analytics solutions.
- Cloud cost optimization, infrastructure efficiency, and performance tuning.
- Troubleshooting pipeline failures, job delays, and platform incidents.
- Coordinating cross-functional incident response and leading RCA (Root Cause Analysis) documentation and follow-up.
- Security, compliance, and access control in data operations.
- Fostering collaborative relationships with cross-functional teams, including data engineering, analytics, and business leadership.
- Any and all experience may be gained concurrently
Responsibilities
- Responsible for platform engineering, operations, reliability, supportability, and scalability of data infrastructure and data pipelines.
- Responsible for decisions on technical stacks, implementation strategies, operational practices, strategic roadmaps, and team development.
- Drive strategic initiatives to enhance reliability, scalability, efficiency, maintain SLAs, reduce costs, promote automation, and collaborate cross-functionally to continuously improve data workflows essential to company's analytics and strategic business goals.
- Lead global teams responsible for company’s data platforms and operations.
- Platform and pipeline engineering and operations.
- Incident management and operational excellence.
- System monitoring, automation and observability.
- Cross-functional collaboration and strategic improvement duties.
- Team leadership, development and hiring.
Benefits
- Competitive Pay and Bonuses
- Financial Planning and wellbeing
- Time away from work
- Extras, discounts and perks
- Growth and Development
- Health and Wellness
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What This Job Offers
Job Type
Full-time
Career Level
Manager
