Senior Manager Data Engineering

Optum; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Optum is seeking a Senior Manager of Data Engineering to lead a high-performing team in designing scalable data architectures and analytics platforms. You will champion AI-enabled capabilities, modernize the data stack across Azure, Snowflake, and Microsoft Fabric, and deliver reliable insights for health outcomes.

The role demands 10+ years in data engineering with leadership, deep ETL/ELT expertise, and strong collaboration with analytics, BI, and product teams to produce reusable,

Qualifications

• 10+ years in Data Engineering or Data Science with 3+ years of people leadership.
• 8+ years ETL/ELT with SQL, Databricks, Python and Spark/PySpark.
• 5+ years data modeling, performance tuning, data streams, data sharing.
• 3+ years in Azure and Snowflake; strong BI/analytics tooling experience.
• 2+ years DevOps: CI/CD, Git, Terraform, containerization (Docker/Kubernetes).
• Bachelor's degree or 4+ years equivalent tech experience.

Responsibilities

• Lead and mentor a data engineering team of 5+ resources.
• Architect and maintain scalable data pipelines across Azure and Snowflake.
• Embed AI-enabled capabilities into data workflows and govern AI use.
• Partner with cross-functional teams to translate requirements into designs.
• Ensure data governance, lineage, and security compliance (HIPAA/GDPR).
• Drive platform modernization and devops practices across pipelines.

Skills

Data Engineering

Data Science Leadership

Azure

Snowflake

Microsoft Fabric

Python

SQL

ETL/ELT

CI/CD

Kafka

Docker

Kubernetes

Airflow

Education

Bachelor's degree

Tools

Databricks

Terraform

Git

Docker

Kubernetes

Apache Airflow

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.

As a Senior Manager of Data Engineering at Optum Rx, you will lead and mentor a high-performing team of data engineers in designing, building, and optimizing scalable, enterprise-grade data architecture and analytics platforms. In this role, you will champion AI adoption as a core driver of team success-integrating AI-enabled capabilities into data workflows, driving platform modernization across Azure, Snowflake, and Microsoft Fabric, and embedding responsible AI practices throughout the data lifecycle. You will partner with cross-functional leadership to transform complex pharmacy data into reliable, actionable insights that improve health outcomes and pharmacy benefit experiences for millions of people.

Primary Responsibilities:

• Integrate enterprise AI tools and AI-enabled capabilities into data engineering workflows, setting clear development goals and actively removing barriers to accelerate team adoption
• Champion the ethical and responsible use of AI across data platforms by embedding transparency, fairness, data privacy, and accountability throughout the entire data and AI lifecycle
• Strategically leverage AI and advanced analytics to solve complex health and pharmacy data challenges, unlock operational opportunities, and deliver tangible business value
• Champion AI as a core driver of team success, proactively shaping how AI-driven solutions are developed, deployed, and utilized across reporting and analytics domains
• Architect, design, and maintain scalable data pipelines, ETL/ELT workflows, and integration solutions across Azure and Snowflake environments
• Define data modeling standards (dimensional, relational, NoSQL) and optimize enterprise data platforms using Snowflake, Microsoft Fabric, and Azure data services
• Provide technical leadership and mentorship to data engineers, managing a team of 5+ resources while enforcing coding, testing, and CI/CD best practices
• Build and optimize batch and real-time streaming pipelines across APIs, databases, and streams using Kafka, Event Hubs, Airflow, Spark, and Databricks
• Implement data validation, lineage, governance frameworks, and metadata management (e.g., Azure Purview) while ensuring compliance with HIPAA, GDPR, and security standards
• Partner with business, BI, analytics, and data science teams to translate complex pharmacy requirements into performant, reusable technical designs
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 10+ years of experience in Data Engineering or Data Science, including 3+ years in a technical leadership role managing a team of at least 5 resources
• 8+ years of hands-on experience in Data Engineering focused on ETL/ELT development using SQL, Databricks, Python, and Spark/PySpark
• 5+ years of experience in data modeling, query performance tuning, data streams, and secure data sharing
• 5+ years of experience within cloud ecosystems, specifically Azure (ADF, Synapse, ADLS, Purview) and Snowflake
• 3+ years of experience writing complex SQL queries/stored procedures for reporting/extracts and working with PowerBI and analytics platforms
• 2+ years of experience in DevOps practices including CI/CD pipelines, Git, Terraform, and containerization (Docker/Kubernetes)

Preferred Qualifications:

• Bachelor''s degree or 4+ years of equivalent technology experience
• Demonstrated experience driving AI adoption, setting technology strategy, and establishing governance/ethical AI practices within data engineering teams
• Proven experience collaborating with Analytics, BI, Data Science, and Product teams to deliver trusted, reusable, and performant pharmacy data assets
• Hands-on experience developing streaming and orchestration pipelines using Kafka, Event Hubs, Apache Airflow, or Microsoft Fabric
• In-depth understanding of Lakehouse/data lake architectures, NoSQL systems, metadata management, and compliance standards (e.g., HIPAA, GDPR)

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.