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KPMG India
Location: Bengaluru, India
Employment Type: Full-time
Reporting To: Jagadish Doki
Organization: KPMG Global Services (KGS)
KPMG Global Services (KGS), established in India in 2008, is a strategic global delivery organization supporting over 50 KPMG member firms worldwide. With close to 10,000 professionals across Bengaluru, Gurugram, Kochi, and Pune, KGS delivers high‑impact Advisory and Tax services through a scalable and customized delivery model. As part of KPMG in India, KGS is consistently recognized as a top employer for inclusion, diversity, and workplace culture.
KPMG’s Data & Analytics practice helps clients unlock business value through trusted, high‑quality analytics solutions. The team takes a business‑first approach to solving complex challenges across growth, risk, and performance. Professionals within this practice work at the intersection of data engineering, cloud platforms, and advanced analytics, enabling data‑driven decision‑making at scale.
The Databricks Data Architect – Associate Director will play a critical leadership role in designing, building, and scaling enterprise‑grade data platforms using Databricks on Azure. This role is responsible for architecting robust data ingestion and transformation frameworks, enabling secure and governed data lakes, supporting cloud migration programs, and providing technical leadership across large, complex data engineering initiatives.
The role combines deep hands‑on expertise, solution architecture, and stakeholder engagement, making it ideal for a senior data engineering leader who can translate business objectives into scalable technical solutions while mentoring teams and driving best practices
KPMG offers a collaborative, inclusive, and growth‑oriented environment with benefits that support personal and professional well‑being, including parental leave, CSR initiatives, networking opportunities, and employee development programs. Benefits may vary by role and location.
Provide strategic and operational leadership for Data Engineering and Analytics teams to build data products, pipelines, and solutions that enable business intelligence, analytics, and AI/ML use cases.
Oversee the development and deployment of scalable ETL/ELT pipelines, data marts, and analytics models that meet enterprise data needs
Ensure effective use of the generic frameworks, tools, and platforms to build, test, and deploy data solutions efficiently
Partner closely with peers to align on capabilities, enhancements, and optimizations needed for ingestion, transformation, orchestration, and deployment frameworks
Drive a data product mindset, ensuring that data assets are well-architected, high quality, governed, and reusable across the organization
Foster collaboration with Data Product Management, AI/ML teams, and business stakeholders to prioritize and deliver high-impact data solutions
Build and scale a high-performing team through recruitment, coaching, and mentoring, promoting a culture of innovation, inclusion, and continuous learning
Proven experience in leading large, distributed teams, managing organizational change, and scaling engineering functions
Lead transformational initiatives to modernize data architecture, adopt emerging technologies, and evolve engineering practices
Cultivate a collaborative and transparent culture, breaking down silos and aligning cross-functional teams around shared goals
Define clear objectives, KPIs, and performance metrics for teams, and provide feedback to ensure accountability and growth
Focus on automation, efficiency, and quality, while meeting or exceeding delivery timelines
Ensure adherence to data governance, privacy, and security policies in all data engineering and analytics work
Represent Data Engineering and Analytics in cross-functional forums, advocating for best practices, innovation, and alignment with enterprise architecture
Preferred Skills
Experience delivering analytics self-service capabilities, conversational analytics and enterprise dashboards using BI tools (e.g., Looker, Power BI, Tableau)
Familiarity with AI/ML operationalization, including enabling data pipelines for AI/ML model development and deployment
Knowledge of data mesh principles or federated data architectures
Experience with cost optimization and cloud resource management for data workloads.
Demonstrated ability to inspire and influence at all levels of the organization, from engineers to executives
15+ years of experience in data engineering, analytics, and technology leadership roles, with demonstrated success in delivering enterprise data solutions
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
Expertise in building ETL/ELT pipelines, data warehouses, data marts, and analytics products on top of cloud-native platforms (GCP, AWS, or Azure)
Experience in SQL, Python, and one or more programming languages (Java, Scala, Go, etc.)
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
Proficiency in Agile methodologies, DevOps/CI-CD principles, and data governance best practices
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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KPMG India is the Indian branch of KPMG, a global network of professional services firms providing audit, tax, and advisory services. The company operates in India with offices including Bangalore, Karnataka, and offers consulting roles such as Associate Consultant.
