TRPD-26-06733

Databricks Partner Champion

This permanent Bengaluru-based role provides senior Databricks technical leadership across the organisation, shaping the Databricks Centre of Excellence and advising on complex customer implementations and strategic engagements. The key requirements are active Databricks Partner Champion status, successful completion of the Champion panel process, proven Databricks customer delivery, contribution to a Centre of Excellence and community, ecosystem relationships, and technical team mentorship. Candidates should bring deep practical expertise in one or more Data & AI areas and experience with Lakehouse architecture, Spark, Delta Lake, Unity Catalog, AI/ML workloads, and enterprise cloud data platforms; the structured experience band is 8–9 years. Thought leadership, reusable accelerators, workshops, and executive briefings are valuable strengths. The description also contains a separate SAP SuccessFactors Time Tracking Consultant specification, which conflicts with the stated role title and Databricks-focused requirements and is treated as unrelated pasted content.

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Position summary

Location: India
Workplace: On-site
Employment: Full Time
Experience: Minimum 8 years and Maximum 9 years

Apply now

Role overview

Why This Role Matters.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

Act as the senior Databricks authority across the organisation.

Define and evolve Databricks best practices, standards and delivery frameworks.

Support strategic sales pursuits and executive customer engagements.

Represent the organisation within the Databricks Partner Champion community.

Build strong relationships with Databricks Partner Alliance, Account and Field teams.

Lead the development and maturity of the Databricks Centre of Excellence.

Coach, mentor and sponsor future Databricks Partner Champion candidates.

Build technical capability across engineering, architecture, AI and analytics teams.

Drive internal enablement initiatives and knowledge-sharing programmes.

Provide architecture leadership for complex Databricks implementations.

Advise customers on Lakehouse strategy, platform adoption, modernisation and AI initiatives.

Review solution designs and promote alignment with Databricks best practice.

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

Databricks

Required

Databricks Lakehouse

Required

Lakehouse architecture

Required

Apache Spark

Required

Spark

Required

PySpark

Required

Delta Lake

Required

Unity Catalog

Required

Machine learning

Required

ML

Required

Generative AI

Required

GenAI

Required

Data engineering

Required

Data architecture

Required

Analytics engineering

Required

Cloud data platforms

Required

Data platform modernisation

Required

Data and AI

Required

Databricks Centre of Excellence

Required

CoE

Required

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

Active Databricks Partner Champion status

Successful completion of the Databricks Partner Champion panel process

Proven contribution to Databricks Centres of Excellence and community initiatives

Demonstrable customer delivery experience using Databricks

Strong relationships within the Databricks ecosystem

Experience mentoring and developing technical teams

Deep expertise in at least one of data engineering, data architecture, machine learning, generative AI, analytics engineering, data platform modernisation, or cloud data platforms

Practical experience with Databricks Lakehouse architecture, Apache Spark, Delta Lake, Unity Catalog, AI/ML workloads, and enterprise-scale cloud data platforms

Preferred

Nice to Have

Thought leadership content, blogs, or public technical contributions

Creation of accelerators, frameworks, and reusable solutions

Leading customer workshops, executive briefings, or industry events

Experience supporting strategic sales pursuits and executive customer engagements

Awareness of emerging Databricks capabilities and wider Data & AI trends

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

Apply

Apply for Databricks Partner Champion

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