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Lead the Cloudera Data Engineering experience using Spark and other technologies, collaborate with teams, drive technical roadmaps, and mentor engineers.

The Sr Partner Sales Manager is responsible for partner engagement, sales strategy development, pipeline management, and achieving revenue goals through partnerships.

Lead commercial structuring and field pricing execution for large, complex enterprise deals. Partner with sales, pricing strategy, and value management to design repeatable programs, drive pricing execution, analyze deal profitability, and coach account teams to scale high-growth outcomes.

Lead technical sales for enterprise accounts: design and demonstrate Cloudera solutions, discover customer use cases, support pre- and post-sales, partner with account managers, advocate customer needs internally, and evangelize externally.

Design, deploy, and tune L2/L3 enterprise and data-center networks; maintain high-capacity links and routing protocols; automate tasks with Python/Ansible/Terraform; respond to P1/P2 incidents on a 24×7 on-call rotation; collaborate with InfoSec to harden configs and maintain runbooks and diagrams.

Own and drive the Anywhere Cloud platform and AI product roadmap across hybrid/multi-cloud. Translate customer needs into requirements, lead product lifecycle from concept to launch, collaborate with engineering/design, monitor product performance, and champion adoption and security-focused platform integrations.

Lead Cloudera Professional Services engagements in Mumbai, managing delivery, scope, budget, and customer relationships. Collaborate with sales, resourcing, support and engineering, prepare SOWs/change orders, implement governance, coach customer PMs, and drive successful outcomes for data-related consulting projects.

The role involves deploying, managing, and troubleshooting OpenStack environments, leveraging Ansible for automation, and integrating with Kubernetes and Taikun. Responsibilities include building Helm charts and maintaining performance, along with documentation of procedures and best practices.

Lead design and implementation of Spark and Livy-based features for large-scale distributed data processing. Contribute to Apache projects, develop in Java/Scala/Python, debug production clusters, improve infrastructure, and collaborate across distributed teams to deliver enterprise-grade data engineering capabilities.

Lead design and implementation of scalable Cloudera-based data warehouse and lakehouse platforms, integrate AI/LLM and RAG workflows, build batch and near-real-time pipelines, define governance/security/quality standards, optimize SQL engines, mentor teams, and translate FP&A and Sales requirements into analytics and data products.