Senior Manager Data Engineering

Optum; Hyderabad; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Optum is a global health services company seeking a senior Data Engineer with technical leadership to design scalable data pipelines and platforms. You will mentor engineers, drive data governance, and lead modernization efforts across cloud ecosystems including Azure and Snowflake.

The role emphasizes collaboration with analytics, BI, and product teams to deliver trusted data assets, while maintaining robust CI/CD and DevOps practices and ensuring compliance with data privacy standards.

Qualifications

• Bachelor's degree or equivalent experience.
• 10+ years in Data Engineering/Data science with 3+ years in a technical lead and leading/managing at least 5 resources.
• 8+ years in Data Engineering (ETL/ELT with SQL, Databricks, Python, Spark/PySpark).
• 5+ years experience and solid expertise in modelling, performance tuning, Streams, secure sharing.
• Very solid experience in writing SQL's/SP's for reporting/extracts and minimum 3+ yes experience in PowerBI and analytics/reporting.
• 5+ years with Azure ecosystem (ADF, Synapse, ADLS, Purview) and Snowflake.
• 2+ years in DevOps (CI/CD, Git, Terraform, Docker/Kubernetes).
• Experience collaborating with Analytics, BI, Data Science, and Product teams to deliver trusted, reusable, and performant data assets.
• Experience with Kafka/Event Hubs and Airflow/Fabric pipelines.
• Experience in data modelling, Lakehouse/data lake architectures, and NoSQL systems.
• Experience in data governance, metadata, lineage, and compliance standards.

Responsibilities

• Data Architecture Design: Design scalable pipelines and data models.
• Technical Leadership: mentor data engineers and drive best practices.
• Data Engineering Optimisation: build and optimise batch and real-time pipelines.
• Data Quality Governance: implement validation, lineage, and governance frameworks.
• Collaboration Delivery: partner with business, analytics, and engineering teams.
• Cloud DevOps: manage CI/CD, IaC (Terraform), monitoring and cost optimisation.
• Production Operations: ensure pipeline reliability and runbooks.
• Strategy: drive data roadmap and platform modernization.
• Comply with all applicable policies and changes including work location and schedules.

Skills

Data Architecture Design

Technical Leadership

Data Engineering Optimisation

Data Quality Governance

Collaboration Delivery

Cloud DevOps

Production Operations

Strategy

Compliance & Policies

Education

Bachelor's degree

Tools

Snowflake

Microsoft Fabric

Azure

Kafka

Airflow

Spark

Terraform

Docker

Kubernetes

Purview

Databricks

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Data Architecture Design
  • Design and maintain scalable data pipelines, ETL/ELT workflows, and integration solutions
  • Define data modelling standards (dimensional, relational, NoSQL)
  • Architect and optimise platforms using Snowflake, Microsoft Fabric, and Azure data services
• Technical Leadership
  • Stratergize and recommend AI-enabled solutions that improve data quality, reduce manual effort, and accelerate insight delivery for the reporting domain
  • Lead and mentor data engineers; enforce coding, testing, and CI/CD best practices
  • Drive adoption of modern tools (Kafka, Airflow, Spark, Fabric, Snowflake)
  • Evaluate and implement emerging technologies
• Data Engineering Optimisation
  • Build and optimise batch and real-time pipelines across APIs, databases, and streams
  • Ensure performance, cost efficiency, scalability, and reliability
  • Automate workflows for resilience
• Data Quality Governance
  • Implement data validation, lineage, and governance frameworks
  • Ensure compliance (HIPAA, GDPR, etc.) and maintain metadata/catalog tools (Purview, etc.)
• Collaboration Delivery
  • Partner with business, analytics, and engineering teams to deliver scalable solutions
  • Translate business requirements into technical designs
• Cloud DevOps
  • Implement cloud-based solutions (Azure preferred; AWS/GCP exposure)
  • Manage CI/CD, IaC (Terraform), monitoring, and cost optimisation
• Production Operations
  • Ensure pipeline reliability, handle incidents, and perform root cause analysis
  • Define SLAs/SLOs and maintain monitoring/runbooks
• Strategy
  • Drive data roadmap and platform modernization
  • Improve data accessibility and align with long-term business goals
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• Bachelor's degree or equivalent experience
• 10+ years in Data Engineering/ Data science with 3+ years in a technical lead and leading/managing at least 5 resources
• 8+ years in Data Engineering (ETL/ELT with SQL, Databricks, Python, Spark/PySpark)
• 5+ years experience and solid expertise in modelling, performance tuning, Streams, secure sharing
• Very solid experience in writing SQL's/SP's for reporting/extracts and minimum 3+ yes experience in PowerBI and analytics/reporting.
• 5+ years with Azure ecosystem (ADF, Synapse, ADLS, Purview) and Snowflake
• 2+ years in DevOps (CI/CD, Git, Terraform, Docker/Kubernetes)
• Experience collaborating with Analytics, BI, Data Science, and Product teams to deliver trusted, reusable, and performant data assets
• Experience with Kafka/Event Hubs and Airflow/Fabric pipelines
• Experience in data modelling, Lakehouse/data lake architectures, and NoSQL systems
• Experience in data governance, metadata, lineage, and compliance standards

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.