Practice Head

1 week ago

bangalore, India Saaki Argus and Averil Consulting Full time

Role: Practice Head - Data EngineeringExperience : 20+ yearsLocation; 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 practicePartner 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 roadmapDrive 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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