Technical Databricks Project Delivery Leader

Company Overview

Computomic was founded in 2019 with a vision to design and deploy mission critical and highly

differentiated Data & AI solutions for companies looking to migrate their data stack from legacy platforms such as Teradata, Cloudera, DataStage and Informatica, to modern platforms like

Databricks. Over the last few years, we have become one of the fastest growing partners for

Databricks, building a strong and mature practice, and delivering large-scale Databricks

migration and transformation projects for some of the world's leading companies. Our

consulting services and tooling help customers realize value from their data by modernizing

their data stack, and we deploy accelerators that save companies up to 80% of time and money

in moving to Databricks.

We are nimble, rapidly growing, globally minded, and focused on Data & AI. We have built an

impressive depth of Data & AI experts (certified Databricks professionals, experts in

BI/dashboarding tools, and specialists in data migration and transformation). Our name

Computomic comes from Computers + Atomic. We believe in making one small change

(atomic) at a time so that the cumulative effect of all the changes delivers massive impact.

The Role

We are seeking a seasoned Technical Databricks Projects Delivery Leader to lead our delivery

operations in India. In this role you will be responsible for end-to-end delivery of enterprise-

scale Databricks projects, from scoping and pre-sales support through solutioning, delivery

execution, customer success and practice expansion. You will work across multiple customers,

act as the technical lead and program manager, and ensure delivery excellence, profitability

and customer delight. You will join a high velocity team, have autonomy to make decisions, and

shape how we execute and scale our Databricks practice out of India.

What you will be doing

Lead and manage the delivery of multiple concurrent Databricks engagements

(migration, modernization, analytics, Lakehouse) in India and across geographies.

Engage in project scoping, estimation, solution architecture review, and transition from

sales/offer stage to delivery.

Define delivery approach, governance, milestones, risk mitigation strategies, and quality

assurance for each project.

Act as the technical & program lead: align solution design with Databricks best practices,

oversee data engineering and data platform teams, ensure scalable and performant

architectures.

Manage project financials: track revenue, margins, utilization, forecasting, billing and

invoicing for engagements delivered out of India.

Build and sustain strong customer relationships at executive and delivery levels: ensure

customer expectations are met or exceeded, drive incremental value, handle

escalations.

Collaborate with onshore/offshore teams, build delivery-ready frameworks,

accelerators, reusable components, internal tooling to increase efficiency and margin.

Mentor and grow a delivery team in India: hire, coach, upskill, promote, and embed a

culture of excellence, continuous improvement and accountability.

Contribute to practice growth: help identify business development opportunities,

support pre-sales conversations with technical input, align with global practice strategy

for Databricks.

Drive thought leadership: organize/lead internal knowledge-sharing, define best

practices for Databricks migrations, speak at customer/industry events, contribute to

internal IP.

The skills & experience you will bring

Must-haves:

10+ years of experience in delivering large scale data platforms or analytics

programs, ideally with 5+ years leading data engineering/modernization/deliveries in

a cloud/Databricks environment.

Hands-on technical understanding of Databricks (Lakehouse architecture, Spark, Delta

Lake, Streaming/Batch pipelines), plus experience in at least one major cloud (AWS,

Azure or GCP).

Strong program/project management skills: able to manage multiple streams, define

governance, mitigate risk, ensure quality and track metrics.

Excellent customer-facing skills: able to engage with C-suite/VPs, translate technical

issues into business implications, manage escalations, ensure stakeholder satisfaction.

Team leadership & people development: hiring, mentoring, building high-performance

teams, especially in India.

Strong communication skills (written and verbal) in English; comfortable working in a

global delivery context.

Consulting mindset: flexible, adaptable in a fast-paced environment, self-motivated,

comfortable with ambiguity and change.

Preferred:

Experience with migrations from legacy platforms (Teradata, Oracle, Talend,

Informatica) to Databricks.

Certifications in Databricks.

Experience building reusable frameworks/accelerators and internal IP for data

platforms.

Prior experience working in services/consulting organization or data-modernization

practice.

Familiarity with the India delivery ecosystem, working with offshore teams, managing

delivery from India, building India-based operations.

What we offer

Excellent compensation, including performance-based bonuses and benefits (adapted

for India region).

Opportunity to work with cutting-edge technologies (Databricks) and with global

Fortune 500 customers.

A global, collaborative team environment with high autonomy and influence.

Opportunity to shape our delivery operations out of India.

Career growth and leadership path: you will lead a team, scale operations, and evolve

into senior leadership in our global practice.

Training & certifications on Databricks and adjacent technologies, plus opportunities for

thought leadership (blogs, conferences).

A culture of change, impact and growth: we value making the atomic change that

accumulates into huge impact.

How to apply:

If you are passionate about leading complex data and AI platform delivery, driving excellence

and growth in India, and helping us build one of the most impactful Databricks practices in the

industry, we'd love to hear from you. Please submit your resume and cover letter explaining

why you're the right fit for this role.