Responsibilities
- Collaborate with leading data engineering and data science teams to influence the evolution of data and artificial intelligence technologies.
- Serve as a technical advisor within the sales process and represent customer needs to product development teams.
- Enable clients to achieve measurable, data-led results by leveraging the lakehouse platform, supporting integration into existing enterprise systems.
- Develop expertise and leadership in addressing complex challenges in big data, analytics, and data science.
- Engage with key customers and prospects, contributing feedback to shape product direction and collaborating on platform-based solutions.
- Advise clients on competitive positioning, implementation strategies, and best practices, while cultivating technical advocates.
- Support sales efforts by providing technical guidance to demonstrate platform value in solving business challenges.
- Partner with sales to grow accounts, define strategic plans, and execute initiatives that align with client objectives.
- Design and validate big data architectures, lead proof-of-concept deployments across data engineering, machine learning, and analytics workflows, and verify integrations with cloud platforms and third-party tools.
- Collaborate with peer technical architects to share knowledge and improve customer outcomes.
- Develop deep expertise in open-source technologies, promote their adoption, and grow community contributions around key data ecosystem projects.
Work Arrangement
Hybrid — Mumbai
Other
Available to travel to customers in your region
