Staff Data Engineer

Overview

Staff Data Engineer role driving impact across data engineering foundations and AI domains, including generative AI initiatives.

What you'll do

• Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for the analytics team and business users.
• Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.
• Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.
• Characterize, evaluate, and fine-tune AI agents, such as conversational systems that allow users to query massive datasets using natural language, to improve their accuracy, efficiency, and reliability.
• Act as an internal consultant across enterprise functions including Go-to-Market (GTM), Product, Marketing, Finance, and Operations.
• Translate business challenges into data engineering and AI use-cases, identify opportunities for AI-driven solutions, and present findings in a clear, actionable manner.

What you'll need

• Experience building and optimizing clean, well-structured analytical datasets for business and AI use cases.
• Experience implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
• Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
• Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
• Expert-level programming skills in Python.
• A solid command of SQL for complex querying and data manipulation.
• Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.

Nice to have

• Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
• Experience in evaluating and optimizing the performance of AI systems or agents.

Details

• Location: Bangalore, India (Bagmane Tech Park).
• Work mode: Most teams work from the office full time, with flexibility when needed.
• Immigration sponsorship: Not available for this position.