Senior Manager Data Engineering

Posted Yesterday
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Hyderabad, Telangana, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Leads data engineering strategy, architecture, and team delivery. Designs scalable batch and real-time pipelines, data models, lakehouse platforms, and cloud solutions using Azure, Snowflake, Fabric, Spark, and related technologies. Oversees data quality, governance, security, CI/CD, monitoring, cost optimization, and production reliability. Mentors engineers, partners with analytics and business teams, drives platform modernization, and translates requirements into reliable, reusable data assets.
Summary Generated by Built In
Requisition Number: 2396684
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.

Skills Required

  • Bachelor's degree or equivalent experience
  • 10+ years of experience in data engineering or data science
  • 3+ years in technical leadership, including leading or managing at least five resources
  • 8+ years of data engineering experience with ETL/ELT, SQL, Databricks, Python, and Spark/PySpark
  • 5+ years of experience in data modeling, performance tuning, streams, and secure sharing
  • Experience writing SQL and stored procedures for reporting and extracts
  • 3+ years of Power BI and analytics/reporting experience
  • 5+ years of experience with the Azure ecosystem, including ADF, Synapse, ADLS, Purview, and Snowflake
  • 2+ years of DevOps experience with CI/CD, Git, Terraform, Docker, and Kubernetes
  • Experience collaborating with Analytics, BI, Data Science, and Product teams
  • Experience with Kafka/Event Hubs and Airflow/Fabric pipelines
  • Experience with data modeling, lakehouse/data lake architectures, and NoSQL systems
  • Experience with data governance, metadata, lineage, and compliance standards

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Leave & Time Off Breadth — Paid time off is often regarded as generous, with meaningful accrual and flexibility to use it. While practices can vary by team, the overall time-off offering stands out as a relative strength.
  • Retirement Support — A 401(k) plan with employer matching is available and generally well-regarded for supporting long-term savings. It remains valuable, though candidates should verify the current match formula.
  • Parental & Family Support — Programs such as parental leave, family medical leave, and adoption assistance are included as notable elements of the total rewards package. These resources can meaningfully support work-life balance when applicable to the role and location.

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
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