Role & responsibilities

Job Description Summary:

We are looking for a visionary Data Platform Engineer to own, scale, and nurture our platform engineering team and data infrastructure across Databricks and Snowflake ecosystems. You will set the strategic direction for Capitas Enterprise Data Platform, be the custodians of the platform, mentor team members, and drive the development of robust, scalable foundational data pipelines, transformations, and data models that underpin business insights and operational reporting. You will ensure engineering best practices, data quality, and reliability are maintained across platforms.

Essential
Platform Build & Operations Expertise: Proven experience (10+ years) designing, implementing, and managing data platforms on Databricks or Snowflake or equivalent, emphasising platform engineering best practices, Infrastructure as Code (IaC), and automation.
Data Technical Proficiency: Robust command of Python (PySpark/Pandas), advanced SQL,



and platform-specific technologies (e.g., Databricks Workflow, Unity Catalog, Snowflake features).
Infrastructure & Cloud: Robust understanding of Microsoft Azure or AWS cloud infrastructure, including networking, security, and compute. Relevant infrastructure certifications (e.g., Microsoft Azure Infrastructure or AWS equivalent) are highly desirable.
Consulting & Stakeholder Management: Strong consulting skills, including exceptional communication and presentation abilities, with a proven track record of translating complex technical concepts into clear business outcomes for diverse audiences.
Professional Conduct: Robust written and spoken English, a positive team culture contributor, and a continuous improvement mindset.

Location: Pune, Mumbai

Please note the certification is mandatory.

Preferred candidate profile

📌 Lead Data Engineer Pune (India)
🏢 Eyeglobal
📍 India