Data & AI Platform Engineer I, Commercialization

Overview

The Data & AI Platform Engineer I supports the Databricks and Unity Catalog platform infrastructure underpinning the Commercial Data & AI HYD team's data products, working under the guidance of senior platform engineers.

What you'll do

• Support the configuration and operation of Databricks and Unity Catalog platform components, including workspace, cluster, and access configuration, under senior guidance.
• Assist with cloud engineering tasks for the platform, including basic provisioning and monitoring of underlying cloud infrastructure.
• Help coordinate with Enterprise IT on systems integration and feature enablement, supporting rollout of new platform capabilities to the team.
• Support platform reliability and security by helping implement access controls, monitoring, and configuration management for the Databricks environment.
• Assist in troubleshooting platform-level issues affecting pipeline execution, working with data engineers and senior platform engineers to isolate root causes.
• Support validation of newly migrated infrastructure against performance and reliability requirements before cutover to production use.
• Help document platform configuration, access patterns, and operational runbooks to support consistent operations across the team.
• Participate in code reviews and follow established engineering practices for version control and basic testing.
• Apply data governance and secure data handling practices, including access controls and protection of sensitive data.

What you'll need

• Working proficiency in SQL and Python for basic platform automation and configuration scripting.
• Exposure to Databricks platform administration (workspace configuration, clusters, jobs, Unity Catalog) and a foundational understanding of Delta Lake concepts.
• Basic understanding of cloud infrastructure fundamentals (e.g., AWS storage, compute, networking, and IAM concepts).
• Understanding of access control and security considerations for a shared data platform handling sensitive commercial pharma data.
• Familiarity with infrastructure-as-code or configuration management concepts.
• Working knowledge of Git/version control and a willingness to learn CI/CD practices.
• Good troubleshooting instincts and communication skills, with the ability to work effectively with data engineers and Enterprise IT.
• Understanding of data governance and secure data handling practices, including access controls and protection of sensitive data.
• A bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
• 1–2 years of experience in platform engineering, cloud infrastructure, DevOps, or data platform administration, or a relevant internship or academic project background.
• Exposure to Databricks or a similar cloud data platform.
• Some exposure to cloud platforms (AWS preferred) supporting data engineering workloads.

Nice to have

• Exposure to coordinating with a central IT or platform team on integration standards.
• Interest in, or exposure to, commercial pharma datasets.

Details

• Location: Hyderabad, Telangana, India.
• Work model: site-essential, site-by-design, field-based or remote-by-design, as assigned to the role based on its core responsibilities.