Lead Data Engineer

Cohere Health; Hyderabad; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Cohere Health in Hyderabad, India is seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead scalable data solutions using AWS, Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration tools.

You’ll blend hands-on engineering with technical leadership, guiding teams across platform, analytics, and product domains while mentoring engineers to align with career growth and best practices.

Qualifications

• 8–12 years of data engineering experience.
• Healthcare claims and authorization datasets (Insurance).
• AWS S3, Glue, Athena, Lake Formation.
• IAM and security controls across modern data stack.
• Delta Lake / Hudi, dbt, Airflow or Step Functions.
• Python.
• SQL.
• PySpark / Spark.

Responsibilities

• Lead delivery of complex data engineering projects across multiple teams.
• Design and implement batch and near-real-time pipelines.
• Build reusable ingestion, transformation, validation, and publishing frameworks.
• Mentor engineers and establish best practices across levels.
• Collaborate with Staff Engineers and Managers to define platform architecture and reliability goals.

Skills

Data engineering

Python

SQL

PySpark

Spark

Cloud data platforms

Tools

AWS S3

AWS Glue

Athena

Lake Formation

dbt

Airflow

Step Functions

Delta Lake

Hudi

Kafka

AWS MSK

SageMaker

Atlan

DBT

Job description

We are seeking a Lead Data Engineer to drive the design and delivery of our cloud‑native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands‑on engineering with technical leadership and collaboration across platform, analytics, and business teams.

What you’ll do:

• Lead delivery of complex data engineering projects across multiple teams
• Drive technical execution from design through production deployment
• Establish scalable implementation patterns Build and Optimize Data Platforms
• Design and implement batch and near-real‑time pipelines
• Build reusable ingestion, transformation, validation, and publishing frameworks
• Support modernization of legacy workloads Lakehouse Engineering
• Lead Apache Iceberg implementation and optimization
• Define standards for schema evolution, partitioning, compaction, and metadata management
• Ensure efficient storage and query performance Data Quality and Reliability
• Implement data quality frameworks
• Drive observability and monitoring practices
• Improve operational excellence and reliability Technical Leadership
• Review architecture and design proposals
• Conduct code reviews and engineering reviews
• Mentor engineers and establish best practices
• Mentor engineers across levels, providing feedback, support, and growth opportunities aligned with career progression frameworks
• Collaborate with Staff Engineers and Managers to define and evolve platform architecture, technical strategy, and system reliability goals
• Act as a technical liaison between data platform engineering, analytics, and product teams—translating requirements into scalable, maintainable solutions

ISMS roles and responsibilities:

• Good knowledge of Information practices.
• Assist the manager in all the information security activities implementation and maintenance process.
• Ensuring the team and imparted with Competence related to Information security
• Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager.

What you’ll need:

Must-haves

• 8–12 years of Data Engineering experience.
• Healthcare claims and authorization datasets.(Insurance)
• AWS S3, Glue, Athena, Lake Formation
• IAM and security controls Modern Data Stack
• Delta Lake / Hudi dbt Airflow or Step FunctionsProgramming
• Python
• SQL
• PySpark / Spark

Nice-to-haves

• Kafka / AWS MSK
• SageMaker
• Atlan or similar catalogs
• Data contracts and Data Mesh concepts
• DBT

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:

Cohere Health’s clinical intelligence platform and agentic AI‑powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer‑provider decision‑making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction.

With the acquisition of ZignaAI, we expanded our AI‑native platform with a comprehensive Payment Integrity Suite that spans data mining, clinical and coding validation, authorization and claims reconciliation, and end‑to‑end payment integrity services across pre‑ and post‑pay workflows. By connecting clinical and payment insights, our transparent, AI‑powered solutions help health plans proactively improve payment accuracy, reduce waste and vendor dependency, strengthen provider relationships, and build smarter, more efficient payment integrity programs.

Cohere Health’s innovations continue to receive industry‑wide recognition. We’ve been recognized on TIME’s World Top HealthTech Companies 2025 list, the 2025 Inc. 5000 list, in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.