Practice Head
2 days ago
Role:
Practice Head - Data Engineering
Experience :
20+ years
Location;
Multiple Locations across India (Chennai, Bengaluru, Gurgaon, Noida, Hyderabad, Kolkata, Pune, Mumbai, etc.)
Role Summary:
We are looking for an accomplished
Practice Head – Data Engineering
to lead our
Data Engineering practice
, define its strategic direction, and drive excellence in
solution design, delivery, and innovation
. The ideal candidate will have deep expertise in
data architecture, modern data platforms, and cloud ecosystems
, with a proven ability to
scale teams and drive large transformation programs
.
Responsibilities
- Provide visionary and hands-on
leadership
to
Data Engineering and Analytics teams
, driving the delivery of data products, pipelines, and solutions that power enterprise BI, advanced analytics, and AI/ML initiatives. - Build
,
mentor
, and scale high-performing data engineering & Analytics teams across technologies and domains. - Drive
competency development
, best practices, and thought leadership within the practice - Partner with business and sales teams to define solution offerings, respond to RFPs, and support pre-sales activities.
- Engage with clients as a trusted advisor to define their data strategy and modernization roadmap
- Drive revenue growth
through new solution offerings and partnerships. - Build and nurture a high-performing, inclusive team through strategic hiring, coaching, and mentoring, fostering a culture of innovation and continuous learning.
- Demonstrate proven success in leading distributed teams, driving organizational change, and scaling engineering functions in dynamic environments.
- Lead modernization efforts across data architecture, embracing emerging technologies and evolving engineering practices to future-proof the organization.
- Promote cross-functional collaboration, transparency, and alignment, breaking down silos and driving shared ownership of outcomes.
- Represent the Data Engineering and Analytics function in enterprise forums, advocating for best practices, innovation, and architectural alignment.
Qualifications
- 20+ years of experience in data engineering and architecture, with at least 5 years in leadership or practice management roles
- Strong software/data engineering background, having started as an individual contributor and grown into senior leadership roles
- Proven experience in
leading large, distributed teams
, managing organizational change, and scaling engineering functions - Deep understanding of data modeling, data computation frameworks, distributed systems, and big data architectures
- Experience in working with frameworks and automation tools provided by shared services teams
- Strong collaboration skills with the ability to partner across engineering, product, and business functions
- Excellent communication and stakeholder management skills; ability to represent the function internally and externally
- Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field
-
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