CSQ227R36

As a Sr. Big Data Engineer in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks Platform. You will provide data engineering, data science, and cloud technology projects that require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data. You will report to the Manager, Professional Services.

The impact you will have:

• You will work on a variety of impactful customer technical Big Data projects, which may include building reference architectures, how-to's and production-grade MVPs
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement strategic customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.

What we look for:

• 8+ years of experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role
• 6+ years of experience working on Big Data Architectures independently
• Strong experience working in the Databricks ecosystem
• Comfortable writing code in either Python or Scala.
• Experience working across Cloud Platforms (GCP / AWS / Azure)
• Documentation and white-boarding skills.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Willingness to travel for onsite customer engagements within India.

CSQ327R28

Sr. Manager, AI FDE

Mission

The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally to shape long-term strategic priorities and initiatives alongside AI/ML Product, Research, and Engineering.

We are looking for a world-class leader to lead and grow our AI FDE team in our Global Delivery Center (GDC). In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top AI engineers, and manage a portfolio of key accounts. You will report directly to our Global Delivery Center (GDC) Leader and dotted line to our AI FDE Global Leader. This role can be remote, with a preference for candidates located in Bangalore. Candidates should expect to travel once a month.

The impact you will have:

• Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale
• Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations
• Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions
• Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team
• Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy
• Own OKRs for AI-services led accounts, revenue, utilization, and public references
• Represent Databricks as a thought leader in AI/ML

What we look for:

• Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders
• Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments
• Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field
• Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP)
• Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements
• Develop and drive a strategic vision for AI transformations across our customers, including product management for applied AI projects, organizational change management for the adoption of AI, and mapping and aligning with key stakeholders
• Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML
• “Company-first” mindset
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  
  

Preferred:

• Experience in a customer-facing consulting or professional services leadership role
• Experience working with Databricks

CSQ227R28

• As a Big Data Manager in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. 

  The impact you will have:

  • You will work on a variety of impactful customer technical Big Data projects which may include building reference architectures, how-to's and production grade MVPs
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

  What we look for:

  • 10+ years experience with Big Data Technologies such as Apache Spark™ Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
  • 4+ years of people management experience , managing a team of Data Engineers , Data Architects etc
  • 6+ years of experience working on Big Data Architectures independently
  • Experience working across Cloud Platforms (GCP / AWS / Azure)
  • Experience working on Databricks platform is a plus
  • Documentation and white-boarding skills.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Willingness to travel for onsite customer engagements within India.