Senior Consultant Business Systems

Optum; Dadri; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Optum is hiring a senior data engineering leader to drive large-scale cloud data platforms and pipelines. You will mentor engineers, shape architecture, and deliver scalable data solutions for analytics and AI.

Join a team building modern data infrastructure, governance, and reliable CI/CD practices. This role focuses on production-ready data flows, cost-aware optimization, and cross-functional collaboration.

Qualifications

• Bachelor's degree in CS/IS/analytics or related cloud/data field.
• 6+ years leading data engineering/analytics platforms; mentoring.
• Hands-on with Snowflake, ADF, ADL, Databricks, Spark, SQL, Python.
• Cloud infra concepts: storage, compute, IAM, networking, observability.
• CI/CD, IaC, automated testing, release management.
• Data modeling, ETL/ELT, governance, data quality, metadata.
• Coordinate with business, analytics, and engineering teams.

Responsibilities

• Lead complex data engineering workstreams from intake to production release.
• Provide hands-on technical direction, reviews, and issue resolution.
• Translate analytics/AI/ML requirements into scalable designs.
• Architect and maintain distributed data pipelines using Azure/Data Lake/Snowflake.
• Migrate legacy pipelines to cloud-native architectures for performance.
• Design data lake/lakehouse patterns for analytics and AI use cases.
• Design cloud infrastructure patterns and ensure enterprise standards.
• Implement monitoring, CI/CD, automation for deployment.
• Improve pipeline reliability and reduce operational overhead.
• Collaborate with partners to prioritize work and communicate risks.
• Ensure data quality, governance, and secure handling.

Skills

Data engineering

Cloud data platforms

Leadership

Mentoring

ETL/ELT development

Governance and data quality

Stakeholder collaboration

Education

Bachelor's degree in CS/IS/Analytics or related cloud/data field

Tools

Snowflake

Azure Data Factory

Azure Data Lake

Databricks

Spark/PySpark

SQL

Python

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:

• Technical Leadership and Delivery
  • Lead complex data engineering workstreams from intake through production release, balancing delivery velocity, architectural quality, and measurable business outcomes
  • Provide hands-on technical direction to junior engineers and peer developers, including design reviews, code reviews, delivery sequencing, and issue resolution
  • Translate finance analytics, reporting, and AI/ML requirements into scalable data engineering designs, implementation plans, and release-ready solutions
• Pipeline Engineering and Data Platform Modernization
  • Architect, build, and maintain distributed data pipelines using Azure Data Factory, Spark/PySpark, SQL, Python, Snowflake, and Databricks to process large-scale batch and streaming datasets
  • Migrate legacy relational or warehouse-based pipelines to cloud-native and distributed architectures that improve performance, scalability, resiliency, and cost efficiency
  • Design and implement data lake and lakehouse patterns that support raw, curated, and consumption-layer datasets for analytics, reporting, and downstream AI/ML use cases
• Cloud Infrastructure and Platform Engineering
  • Design and support cloud infrastructure patterns for data engineering workloads, including Azure Data Lake, storage organization, compute configuration, network-aware platform integration, environment promotion, and secure service connectivity
  • Partner with cloud infrastructure, security, and architecture teams to ensure data platforms follow enterprise standards for identity, access control, secrets management, monitoring, scalability, and resiliency
  • Apply infrastructure-as-code, environment configuration, deployment automation, and platform reliability practices where appropriate to improve repeatability, auditability, and operational support
• Orchestration, Automation, Reliability, and DevOps
  • Implement monitoring, alerting, error handling, runbooks, and incident triage practices that improve pipeline reliability and reduce operational overhead
  • Apply CI/CD best practices using Azure DevOps, GitHub, or equivalent tooling, including source control, automated testing, code review, release management, and controlled environment promotion
  • Optimize pipeline performance and cloud consumption through capacity-aware design, scheduling strategy, partitioning, compute right-sizing, and cost-conscious engineering decisions
• Data Modeling, Governance, and Quality
  • Design scalable data models and transformation patterns that support trusted finance data products across raw, curated, and consumption layers
  • Establish data contracts, SLAs, validation rules, reconciliation checks, and data quality controls to ensure consistency and trust across downstream consumers
  • Support secure and compliant handling of sensitive finance data, including access patterns, governance alignment, auditability, metadata documentation, and controlled release processes
• Stakeholder Collaboration and Analytics Enablement
  • Collaborate with finance business partners, analytics teams, architects, product owners, and platform teams to prioritize work, resolve dependencies, and communicate delivery status and risks
  • Enable analytics and AI/ML solutions by ensuring curated datasets are reliable, discoverable, performant, and fit for downstream reporting, modeling, and decision-support use cases
• 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:

• Bachelor''s degree in computer science, information systems, data engineering, analytics, cloud engineering, or a related field
• 6+ years of experience in data engineering, analytics engineering, cloud data platforms, or data platform development, with demonstrated ability to lead technical workstreams or mentor junior engineers
• Solid hands-on experience designing, building, and supporting large-scale cloud-based data platforms using Snowflake, Azure Data Factory, Azure Data Lake, Databricks, Spark/PySpark, SQL, and Python
• Experience with cloud infrastructure concepts relevant to data engineering workloads, including storage, compute, networking considerations, identity/access management, secrets management, observability, scalability, resiliency, and cost optimization
• Experience implementing modern engineering practices such as source control, CI/CD, automated testing, code reviews, release management, infrastructure-as-code, environment promotion, and operational runbooks
• Solid knowledge of data modeling, ETL/ELT development, orchestration, performance tuning, data quality frameworks, secure data handling, metadata documentation, and governance-aligned delivery
• Proven ability to work directly with business partners, analytics teams, architects, platform teams, and engineering resources to clarify requirements, document data mappings, communicate risks, coordinate testing, and deliver measurable outcomes

Preferred Qualification:

• Advanced degree or relevant cloud/data certifications

UnitedHealth Group is working to create the health care system of tomorrow.

Already Fortune 5, we are totally focused on innovation and change. We work a little harder. We aim a little higher. We expect more from ourselves and each other. And at the end of the day, we''re doing a lot of good.

Through our family of businesses and a lot of inspired individuals, we''re building a high-performance health care system that works better for more people in more ways than ever. Now we''re looking to reinforce our team with people who are decisive, brilliant - and built for speed.

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.

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