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Head of Databricks

Tiger Analytics is seeking a Head of Databricks with 15+ years of experience to lead and scale their Big Data practices. This executive role involves driving Databricks-heavy Data Engineering strategy, platform modernization, and leading presales and solutioning initiatives.

About the role

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. Curious about the role? What your typical day would look like?

Required Qualifications:

Overall experience should be 15+ years.
At least 5+ years of experience leading and scaling Big Data practices.
Must have led large-scale initiatives in Databricks-heavy Data Engineering strategy, platform modernization, Data Lakehouse architecture, and Data Mesh adoption.
Ability to define and drive the strategic roadmap for talent acquisition, staffing, and L&D. Responsible for scaling the practice and optimizing resource utilization.
A strong history of leading presales and solutioning for deals of all sizes, with the executive presence to engage effectively with senior customers.
Proven expertise in building IP/accelerators for modern Data & AI platforms, including exposure to Gen AI.
A strong orchestrator capable of seamless collaboration across different teams.
Should have significant onsite experience and be ready for short-term global travel (US, EU, or APAC).

Educational Background:

Bachelor’s degree (B.E/B.Tech) in Computer Science, Information Technology, or a related field from a reputed institute (preferred).

About the role

Who we are

Required Qualifications:

Overall experience should be 15+ years.
At least 5+ years of experience leading and scaling Big Data practices.
Must have led large-scale initiatives in Databricks-heavy Data Engineering strategy, platform modernization, Data Lakehouse architecture, and Data Mesh adoption.
Ability to define and drive the strategic roadmap for talent acquisition, staffing, and L&D. Responsible for scaling the practice and optimizing resource utilization.
A strong history of leading presales and solutioning for deals of all sizes, with the executive presence to engage effectively with senior customers.
Proven expertise in building IP/accelerators for modern Data & AI platforms, including exposure to Gen AI.
A strong orchestrator capable of seamless collaboration across different teams.
Should have significant onsite experience and be ready for short-term global travel (US, EU, or APAC).

Educational Background:

Bachelor’s degree (B.E/B.Tech) in Computer Science, Information Technology, or a related field from a reputed institute (preferred).

Head of Databricks

About the role

Who we are

Required Qualifications:

Educational Background:

Head of Databricks

About the role

Who we are

Required Qualifications:

Educational Background:

Skills