Principal Engineer – Data Platforms, Azure & GenAI

Overview

Principal Engineer, technical leadership role across data platforms and software systems, with responsibility for championing responsible adoption of Generative and Agentic AI. Works without direct people-management responsibilities.

What you'll do

• Architect, design and drive or implement engineering deliverables across complex, high-scale data landscapes spanning multiple domains and platforms.
• Design, build and optimize batch and streaming data pipelines in On Prem and in Azure leveraging Azure services.
• Own data modeling and engineering strategy for analytics, ensuring data is well-structured, discoverable and trustworthy across the data estate.
• Establish best practices for data quality, observability and pipeline reliability, leveraging Azure services.
• Design and build microservices and backend APIs, choosing the right compute model for each workload.
• Apply sound system design and architecture patterns to ensure systems are scalable, maintainable, resilient, event-driven and asynchronous.
• Champion strong CI/CD and DevOps practices in both On Prem and Azure.
• Act as a hands-on contributor, writing code, reviewing designs and solving the hardest technical problems alongside the team.
• Partner directly with senior leaders and multi-functional stakeholders to translate business priorities into scalable technical solutions.
• Evangelize and drive adoption of Generative and Agentic AI across engineering teams.
• Provide hands-on technical leadership, mentorship and coaching to engineers at all levels, elevating engineering standards organization-wide.
• Champion a culture of innovation, experimentation and continuous improvement in engineering practices.

What you'll need

• 15+ years of progressive experience in data and software engineering, with demonstrated ownership of large, complex data landscapes.
• Deep data engineering expertise, including pipeline design (batch and streaming, ETL/ELT), data modeling and warehousing for large-scale analytics.
• Strong expertise in database and data management, with advanced expertise in SQL and relational/analytical data modeling for large-scale systems.
• Strong proficiency in at least one programming language, Python or Java preferred, with a track record of production-grade code delivery.
• Proven experience designing and building microservices architectures, including system design and CI/CD practices.
• Hands-on experience with at least one major cloud platform, preferably Azure.
• Demonstrated experience evangelizing and driving adoption of Gen AI and Agentic AI capabilities within an engineering organization, along with exposure to modern GenAI/LLM tooling (e.g., Azure OpenAI, Copilot-style agents, RAG pipelines, prompt engineering, AI-assisted development workflows).

Nice to have

• Experience working in the financial services / banking domain, with familiarity in domain-specific data and compliance considerations.
• Track record of collaborating with and influencing senior leadership and executive stakeholders on technical strategy.
• Demonstrated mentorship and technical coaching experience, growing engineers into senior/lead roles.
• A track record of driving innovation initiatives, such as proof-of-concepts, hackathons or engineering culture transformation.

Details

• Location: Bangalore, India (RMZ Infinity).
• Work mode: Hybrid, digital first, attending the office at least one day per week.
• Career stage: Manager.