Manager, Data Engineer

Responsibilities

• Lead and manage a team of data engineers to deliver scalable, secure, and high-quality data solutions aligned with business priorities.
• Own the roadmap execution for data engineering, balancing immediate delivery commitments with long-term architecture, modernization, and platform scalability.
• Partner with stakeholders across product, operations, analytics, client delivery, and leadership teams to prioritize data engineering roadmap, define KPIs, and translate business goals into technical solutions.
• Oversee the design, development, and maintenance of robust ETL pipelines that ingest, transform, and load data from multiple internal and external systems.
• Ensure pipelines and platforms are scalable, reusable, fault-tolerant, and optimized for batch, near real-time, and event-driven workloads.
• Drive the delivery of dashboards, scorecards, KPI reporting systems, and executive analytics that enable data-driven decision making across the organization.
• Establish engineering best practices for coding standards, testing, release management, documentation, and operational readiness across the team.
• Lead automation initiatives to eliminate manual reporting and operational processes through orchestration, and reusable frameworks.
• Own governance frameworks including data quality, metadata management, lineage, access controls, compliance, and audit readiness.
• Manage team capacity planning, sprint execution.
• Support client-facing engagements involving integrations, data onboarding, solution design, and executive communication where required.
• Required Qualifications:
• 8+ years of experience in Data Engineering, data platforms, analytics engineering, or related disciplines, with 3+ years of people leadership or team management experience.
• Proven success managing high-performing engineering teams delivering enterprise-scale data solutions.
• Strong expertise in designing modern cloud-based data architectures using Amazon Web Services services such as EMR, Glue, Lambda, Athena, S3, Iceberg, and related ecosystem tools.
• Deep experience building scalable ETL pipelines, distributed data processing systems, and enterprise reporting platforms.
• Strong SQL expertise including performance tuning, optimization, partitioning, workload management, and data modeling.
• Experience with orchestration and transformation frameworks such as dbt, Airflow, Step Functions, or equivalent tools.
• Proven ability to lead production support models, incident management, SLA ownership, and platform reliability improvements.
• Strong understanding of governance, security, privacy controls, observability, and data quality frameworks.
• Experience managing stakeholder relationships, prioritization, roadmap planning, and executive communication.
• Experience leading secure client integrations including APIs, file exchanges, and SFTP transfers.
• Knowledge of CI/CD pipelines, DevOps practices, and version control using GitHub, AWS CodePipeline, or similar tools.
• Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
• Ability to commute/relocate:
• Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)
• Interview Process*:
• Connect with Talent Acquisition
• Meet with the Hiring Manager
• Behavioral Interview(s)
• Case Study
• Interview with Senior Leadership
• *Subject to change
• About Cohere Health:

Benefits

Additional Information

Opportunity Overview: We are seeking an experienced Manager, Data Engineering to lead and scale our Data platforms as we expand our infrastructure, services, and platform architecture. This role is ideal for a leader who combines strong technical depth, people management capability, strategic thinking, and cross-functional influence to deliver impactful data solutions at scale. As a Manager, Data Engineering, you'll partner closely with data engineers, analytics engineers, architects, product leaders, and business stakeholders to shape and execute the roadmap for our data platform, ensuring high-trust, scalable, and business-aligned outcomes. You'll lead and mentor engineering teams, foster a culture of excellence, and act as a force multiplier across functions by raising engineering standards, improving delivery execution, and accelerating the maturity of our data platform capabilities.

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