Senior Manager, Data Platform Engineering
$175k - $195k • Remote • United States
Posted 3d ago
About the job
Cohere Health is looking for a Senior Manager, Data Platform Engineering to lead a crucial part of their Data Platform team. This role involves scaling technology, engineering practices, and client delivery capabilities. You will combine people leadership, technical judgment, and execution ownership to build a high-performing engineering team, drive predictable delivery, technical excellence, and operational reliability across complex data initiatives. You will partner with Product, Engineering, Architecture, Client Delivery, and business stakeholders to construct a scalable and trusted data foundation that supports Cohere's growth.
Responsibilities
- Lead, coach, and develop a high-performing Data Platform engineering team.
- Own execution across complex data initiatives, translating priorities into delivery plans.
- Establish strong delivery discipline by ensuring work is sufficiently defined, estimated, and ready before commitment.
- Maintain technical depth to assess delivery and implementation risk, partnering with technical leaders.
- Build trusted cross-functional partnerships to align priorities and communicate status.
- Drive operational excellence in production support, incident management, data quality, and reliability.
- Guide the evolution of Cohere’s data platform, including ingestion, transformation, architecture, and governance.
Requirements
- 8+ years of experience in data engineering, platform engineering, software engineering, or a related technical field.
- 3 years of directly managing software or data engineers or as a Lead/Staff level Data Engineer.
- Demonstrated success building, coaching, and managing high-performing engineering teams.
- Proven ability to lead complex, cross-functional engineering initiatives from planning through production.
- Strong technical depth in modern data platforms (ingestion, ETL/ELT, distributed processing, data modeling, cloud architectures).
- Experience with cloud and data technologies such as AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, Athena, or comparable.
- Strong understanding of engineering quality and operational practices (testing, data quality, observability, incident management, CI/CD).
- Excellent written and verbal communication skills.
Benefits
- Medical, dental, vision, life, disability insurance, and Employee Assistance Program
- 401K retirement plan with company match
- Flexible spending and health savings account
- Flexible Time Off + Company Holidays
- Up to 14 weeks of paid parental leave
- Pet insurance