Overview

Job Title: Lead Data Engineer / Engineering Manager – AWS Data Platform

Location: Hyderabad (Hybrid)

Experience: 10+ years

Employment Type: Full-Time

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About the Role:

We are hiring for our client – a leading healthcare technology company building scalable, secure, and intelligent data platforms that support clinical diagnostics, research, and analytics. This role is a hybrid of hands-on technical leadership and team management, focused on delivering robust data infrastructure on AWS to support 300+ business-critical dashboards, analytics, and machine learning workflows.

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Key Responsibilities:

• Lead the design and implementation of a scalable cloud-native data platform using AWS services (S3, Glue, Redshift, Lambda, ECS, etc.).

• Manage and mentor a team of platform/data engineers to deliver high-quality, reusable infrastructure and data components.

• Drive architecture decisions focused on scalability, developer productivity, and security.

• Build and maintain CI/CD pipelines, GitOps workflows, and infrastructure-as-code using Terraform.

• Collaborate closely with InfoSec to ensure platform security, compliance, and audit readiness.

• Support operational monitoring, incident response, and platform reliability across all environments.

• Coordinate with analytics, product, and engineering teams to deliver domain-aligned data solutions.

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Required Skills:

• 10+ years of experience in data engineering or platform engineering.

• 3+ years of experience in technical leadership or engineering management roles.

• Strong expertise in AWS data stack: S3, Redshift, Glue, Athena, Lambda, ECS, etc.

• Proficient in Python and/or Scala for data engineering and automation.

• Deep understanding of Apache Spark for both batch and streaming use cases.

• Hands-on experience with Terraform and CI/CD tools (GitHub Actions, Jenkins, etc.).

• Proven ability to lead teams building scalable data infrastructure and pipelines.

• Solid understanding of data governance, platform security, and compliance (HIPAA/SOC2).

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Good to Have:

• Experience with Kubernetes, Docker, and microservices architecture.

• Familiarity with Data Mesh or domain-oriented data platform design.

• Background in healthcare or regulated industries.

• Experience integrating with BI tools like Tableau or Looker.

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Why Join Us?

• Work with a mission-driven client focused on transforming healthcare through data.

• Lead initiatives that power diagnostics, research, and data science at scale.

• Drive innovation with modern tools like IaC, GitOps, and serverless architectures.

• Hybrid working model with a collaborative and impact-oriented team culture.