Senior Manager, Data Platform Engineering

🕒 October 30

🇺🇸 United States – Remote

💵 $175k - $195k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Cohere Health's careers page ↗Cohere Health's careers page, not through a job board

First seen by Remote Rocketship October 30

Still open on Cohere Health's site. Checked 3 minutes ago.

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Logo of Cohere Health

Cohere Health

201 - 500 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Cohere Health is a company focused on transforming the prior authorization process in healthcare using advanced technologies. The company offers the Cohere Unify™ Platform, which includes artificial intelligence and machine learning capabilities to improve utilization management (UM) and facilitate quicker access to patient care. By digitizing the prior authorization process and integrating with electronic medical records, Cohere Health aims to enhance the quality of healthcare outcomes and reduce the administrative burden on providers. Their solutions help decrease denial rates and adverse outcomes through evidence-based intelligence and real-time clinical suggestions. Cohere Health's offerings are available as Platform as a Service (PaaS) or as fully outsourced solutions.

📋 Description

• Lead, coach, and develop a high-performing Data Platform engineering team • Own execution across complex data initiatives, including delivery plans, milestones, dependencies, capacity, risks, decisions, and target dates • Establish delivery discipline by ensuring work is defined, technically understood, estimated, sequenced, and ready before commitment • Assess delivery and implementation risk and partner with Staff Engineers and technical leaders on architecture, estimates, readiness, root causes, and quality • Build cross-functional partnerships across Product, Client Delivery, Engineering, Architecture, Operations, and stakeholders • Drive operational excellence across production support, on-call readiness, incident management, data quality, observability, and reliability • Guide the evolution of scalable data ingestion, transformation, lakehouse and cloud architecture, governance, and reusable platform capabilities

🎯 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 experience as a Lead/Staff level Data Engineer in a production engineering environment • 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 data ingestion, ETL/ELT, distributed data processing, data modeling, cloud-based data architectures, and production data systems • Experience with AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, Athena, or comparable technologies • Understanding of testing, data quality, observability, incident management, on-call operations, version control, CI/CD, and production reliability • Excellent written and verbal communication skills • Nice-to-haves: enterprise-scale data lakehouse/data platform infrastructure, healthcare data, data governance, metadata management, data cataloging, security, privacy, regulated data environments, and engineering-team maturity initiatives

🏖️ Benefits

• Fully remote opportunity with about 5% travel • 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 • Bonus included in the total benefits package

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