Senior Manager, Data Platform Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, mentor, and cultivate a high-achieving Data Platform engineering team by establishing clear expectations, providing regular feedback, supporting career development, managing performance, and demonstrating strong engineering leadership.

• Take ownership of execution across intricate data initiatives, converting priorities into feasible delivery plans that include clear scope, milestones, responsible parties, dependencies, capacity considerations, risks, decisions, and target dates.

• Ensure accountability throughout delivery and proactively modify plans when there are changes in scope, capacity, dependencies, or technical complexity.

• Foster delivery discipline by guaranteeing that work is clearly defined, technically understood, estimated, sequenced, and prepared prior to commitment.

• Tackle blockers, dependencies, scope alterations, and capacity limitations, with proactive mitigation and early escalation in cases where commitments are at risk.

• Evaluate delivery and implementation risks while collaborating with Staff Engineers and technical leaders to validate architecture, implementation strategies, estimates, technical readiness, root causes, and quality.

• Develop cross-functional partnerships across Product, Client Delivery, Engineering, Architecture, Operations, and other stakeholders.

• Align priorities, navigate trade-offs, and communicate clear, fact-based updates and decisions.

• Propel operational excellence in areas such as production support, on-call readiness, incident management, data quality, observability, and reliability.

• Maintain operational discipline regarding capacity planning, backup coverage, escalation paths, action tracking, and follow-through.

• Guide the advancement of Cohere’s data platform, focusing on scalable data ingestion, transformation, lakehouse and cloud architecture, governance, and reusable platform capabilities.

⛳️ Requirements

• Over 8 years of experience in data engineering, platform engineering, software engineering, or a related technical domain, including 3 years of direct management of software or data engineers or as a Lead/Staff level Data Engineer in a production engineering context.

• Proven success in building, coaching, and leading high-performing engineering teams, encompassing expectation setting, talent development, performance management, and accountability for outcomes.

• Demonstrated ability to lead complex, cross-functional engineering initiatives from planning to production, showcasing strong delivery discipline, dependency management, risk mitigation, accountability, and a record of enhancing predictability.

• Strong technical expertise in modern data platforms, covering data ingestion, ETL/ELT, distributed data processing, data modeling, cloud-based data architectures, and production data systems.

• Familiarity with contemporary cloud and data technologies like AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, Athena, or comparable technologies.

• Solid understanding of engineering quality and operational practices, including testing, data quality, observability, incident management, on-call operations, version control, CI/CD, and production reliability.

• Exceptional written and verbal communication skills, with the capability to provide succinct, accurate updates to senior leadership while navigating priorities, trade-offs, risks, and decisions across both technical and non-technical stakeholders.

• Experience in building or managing enterprise-scale data lakehouse, data platform, or data infrastructure capabilities.

• Experience working with healthcare data, including claims, eligibility, clinical, provider, or other healthcare datasets.

• Knowledge of data governance, metadata management, data cataloging, security, privacy, and regulated data environments.

• Proven success in assisting an engineering team to enhance its delivery practices, technical standards, operational discipline, or platform capabilities during a significant growth period.

🏝️ Benefits

• Fully remote opportunity with approximately 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.