Senior Manager of Data Platform Engineering

Cohere Health; United States; On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life & Disability Insurance

Flexible Time Off & Holidays

401(K) Retirement Plan with Employer

Wellness Coach App

Parental Leave

Learning & Development Opportunities

Job summary

Cohere Health is seeking a Senior Manager, Data Platform Engineering to guide a critical part of the Data Platform team as we scale technology, practices, and client delivery capabilities. The role blends people leadership, technical judgment, and execution ownership to build a high-performing team with reliable, scalable data foundations across complex initiatives.

You’ll partner with Product, Engineering, Architecture, Client Delivery, and business stakeholders to ensure a trusted data

Qualifications

• Requires 8+ years in data engineering/platform engineering or related field.
• Proven ability to lead cross-functional engineering initiatives end-to-end.
• Strong delivery discipline with risk mitigation and accountability.
• Experience with modern cloud and data technologies (AWS, Spark, Airflow).
• Experience in healthcare data environments preferred.

Responsibilities

• Lead and develop a high-performing Data Platform engineering team.
• Translate priorities into credible delivery plans with milestones and owners.
• Maintain delivery discipline and manage blockers, dependencies, and capacity constraints.
• Collaborate with Product, Engineering, Architecture, and Client Delivery to build scalable data foundations.
• Drive operational excellence across production support, data quality, and observability.

Skills

Data platform leadership

Cross-functional collaboration

Delivery discipline

Cloud data architectures

Data governance

Stakeholder communication

Tools

AWS

S3

Iceberg

Airflow

Spark/PySpark

Job description

• We are seeking a Senior Manager, Data Platform Engineering to lead a critical part of Cohere Health’s Data Platform team as we continue scaling our technology, engineering practices, and client delivery capabilities
• This role combines people leadership, technical judgment, and strong execution ownership to build a high-performing engineering team and drive predictable delivery, technical excellence, and operational reliability across complex data initiatives
• You’ll partner closely with Product, Engineering, Architecture, Client Delivery, and business stakeholders to build a scalable, trusted data foundation that supports Cohere’s continued growth
• Lead, coach, and develop a high-performing Data Platform engineering team through clear expectations, regular feedback, career development, performance management, and strong engineering leadership
• Own execution across complex data initiatives, translating priorities into credible delivery plans with clear scope, milestones, owners, dependencies, capacity assumptions, risks, decisions, and target dates. Maintain accountability through delivery and proactively adjust plans when scope, capacity, dependencies, or technical complexity change
• Establish strong delivery discipline by ensuring work is sufficiently defined, technically understood, estimated, sequenced, and ready before commitment; proactively address blockers, dependencies, scope changes, and capacity constraints, with clear mitigation and early escalation when commitments are at risk
• Maintain sufficient technical depth to independently assess delivery and implementation risk, while partnering closely with Staff Engineers and other technical leaders to validate architecture, implementation approaches, estimates, technical readiness, root causes, and quality before key decisions or commitments are made
• Build trusted cross-functional partnerships across Product, Client Delivery, Engineering, Architecture, Operations, and other stakeholders to align priorities, resolve tradeoffs, and communicate clear, fact-based status and decisions
• Drive operational excellence across production support, on-call readiness, incident management, data quality, observability, and reliability, while maintaining strong operating discipline across capacity planning, backup coverage, escalation paths, action tracking, and follow-through
• Guide the continued evolution of Cohere’s data platform, including scalable data ingestion, transformation, lakehouse and cloud architecture, governance, and reusable platform capabilities that support downstream applications, analytics, and business needs

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Life & Disability Insurance
• Flexible Time Off & Holidays
• 401(K) Retirement Plan with Employer Match Program
• Wellness Coach App
• Parental Leave
• Learning & Development Opportunities

8+ years of experience in data engineering, platform engineering, software engineering, or a related technical field, including 3+ years directly managing software or data engineers in a production engineering environmentProven ability to lead complex, cross-functional engineering initiatives from planning through production, with strong delivery discipline, dependency management, risk mitigation, accountability, and a demonstrated track record of improving predictabilityDemonstrated success building, coaching, and managing high-performing engineering teams, including setting expectations, developing talent, managing performance, and creating accountability for outcomesStrong understanding of engineering quality and operational practices, including testing, data quality, observability, incident management, on-call operations, version control, CI/CD, and production reliabilityStrong technical depth in modern data platforms, including data ingestion, ETL/ELT, distributed data processing, data modeling, cloud-based data architectures, and production data systemsExcellent written and verbal communication skills, with the ability to provide concise, accurate updates to senior leadership and navigate priorities, tradeoffs, risks, and decisions across technical and non-technical stakeholdersExperience with modern cloud and data technologies such as AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, Athena, or comparable technologiesExperience building or operating enterprise-scale data lakehouse, data platform, or data infrastructure capabilitiesExperience working with healthcare data, including claims, eligibility, clinical, provider, or other healthcare datasetsFamiliarity with data governance, metadata management, data cataloging, security, privacy, and regulated data environmentsDemonstrated success helping an engineering team mature its delivery practices, technical standards, operational discipline, or platform capabilities during a period of significant growth