Improve data accessibility and align with long-term business goals
From the employer’s posting
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
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
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
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
5+ years with Azure ecosystem (ADF, Synapse, ADLS, Purview) and Snowflake
2+ years in DevOps (CI/CD, Git, Terraform, Docker/Kubernetes)
Qualification wording
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
5+ years with Azure ecosystem (ADF, Synapse, ADLS, Purview) and Snowflake
2+ years in DevOps (CI/CD, Git, Terraform, Docker/Kubernetes)
Education & alternatives
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
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
AWS
Azure
Databricks
Docker
GCP
Kafka
Kubernetes
NoSQL
Power BI
Snowflake
Spark
Terraform
Airflow
PySpark
Where the posting names them
- 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
- 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
- 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
- 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
- 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)
- 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
- 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
- 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
- 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
- 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
- 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
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Yes. We’ve followed 3 other Senior Manager Data Engineering jobs there since April 2026. 3 came down, usually after about 9 days.
GurugramCame down after 9 days, first seen Apr 28
ChennaiCame down after 2 days, first seen May 9
DublinCame down after 27 days, first seen Sep 18
This jobUp 0 days so far, first seen Nov 4
Apr 28Today
If this one keeps the same pace, it may come down around November 13.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
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
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.