Job Summary
Synechron is seeking a proficient Data Engineer to support the design, development, and maintenance of scalable, effective data pipelines and enterprise data solutions. The role involves collaborating with cross-functional teams to gather requirements, implement data management strategies, and ensure data quality, security, and availability. The Data Engineer will leverage experience in cloud platforms, big data tools, and modern development practices to enable data-driven decision-making and operational excellence across the organization.
Principal responsibilities
Drive adoption and time-to-value
• Embed with engineering teams to understand their workflows, identify where AI tooling aligned to standardised patterns and platforms add leverage, and guide them from initial setup to confident daily use.
• Design and deliver structured enablement projects — workshops, office hours, self-serve guides — tailored to different engineering personas (backend, frontend, platform, and testing).
• Drive adoption aligned to metrics, ensuring teams move from passive licence holders to active,



high-value engineers delivering value back to the business.
Act as a hands-on technical partner
• Write real code alongside customer teams to demonstrate AI-assisted development patterns in context — not just in demos.
• Diagnose and resolve blockers to adoption — whether technical, cultural, or workflow-related.
• Translate early adopter learnings into repeatable playbooks that scale adoption across the organisation.
• Help teams adopt AI tooling and standardise existing developer workflows, CI/CD pipelines, and control standards.
• Serve as the voice of the developer back to the platforms team — bringing structured
• insight about where tooling falls short, what features would unlock the next level of
• value, and what’s creating unnecessary friction.
• Collaborate with product managers and engineers on the platform team to prioritise
improvements with the greatest customer imp

📌 Ai catalyst lead (Pune)
🏢 Synechron
📍 Pune