Join Optum, a global leader dedicated to improving health outcomes through technology. As a Senior Manager of Data Engineering, you'll play a crucial role in shaping our data landscape and driving innovation. Our inclusive culture, talented colleagues, and comprehensive benefits foster an environment where you can truly make an impact and advance health optimization worldwide. This is an opportunity to connect, care, and grow together.

This role is based in Hyderabad, Telangana, India, offering a hybrid work model.

Lead the design and maintenance of scalable data pipelines, ETL/ELT workflows, and integration solutions. Define data modeling standards and architect optimized platforms using Snowflake, Microsoft Fabric, and Azure data services. Strategize and recommend AI-driven solutions to enhance data quality and accelerate insights. Mentor a team of data engineers, enforcing best practices in coding, testing, and CI/CD. Drive the adoption of modern tools like Kafka, Airflow, Spark, Fabric, and Snowflake, while evaluating emerging technologies.

Build and optimize batch and real-time pipelines, ensuring performance, cost efficiency, and reliability. Automate workflows for enhanced resilience. Implement robust data validation, lineage, and governance frameworks, ensuring compliance with HIPAA and GDPR. Collaborate closely with business, analytics, and engineering teams to translate requirements into technical designs. Develop cloud-based solutions, manage CI/CD pipelines, and oversee production operations, incident handling, and root cause analysis. Drive the data roadmap, platform modernization, and improve data accessibility.

A Bachelor's degree or equivalent experience is required, alongside over 10 years of experience in Data Engineering or Data Science. This includes a minimum of 3 years in a technical leadership role, managing at least five resources. You should possess 8+ years of hands-on Data Engineering experience with ETL/ELT, SQL, Databricks, Python, and Spark/PySpark. Expertise is needed in data modeling, performance tuning, streams, and secure sharing (5+ years).

Significant experience (5+ years) with the Azure ecosystem (ADF, Synapse, ADLS, Purview) and Snowflake is essential. Additionally, 2+ years in DevOps practices (CI/CD, Git, Terraform, Docker/Kubernetes) is required. Experience collaborating with Analytics, BI, Data Science, and Product teams is vital. Familiarity with Kafka/Event Hubs and Airflow/Fabric pipelines, alongside data governance, metadata, lineage, and compliance standards, is also crucial. Solid experience in writing SQLs/SPs for reporting and extract, with at least 3 years in PowerBI and analytics/reporting, is necessary.