Data Engineering Director

KPMG Global Services 

KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements 

The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India — Bengaluru, Gurugram, Kochi and Pune, providing a range of Advisory and Tax-related services to member firms within the KPMG network. 

As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion & Diversity by ASSOCHAM (The Associated Chambers of Commerce & Industry of India). 

1. Furthermore, as KPMG in India, we were recognized as one of the 'Best Companies for Millennials' at The Millennial Max Conference 2019 presented by The LNOD Roundtable as well as 'the Great Indian Workplace' at the Culture Summit and Great Indian Workplace Awards 2019.

Team Overview 

KPMG's network of Data & Analytics professionals recognizes that analytics has the power to create great value. That is why they take a business-first perspective, helping solve complex business challenges using analytics that clients can trust.

Data & Analytics professionals focus on solving complex business issues across all the key drivers of organizational value, including growth, risk and performance. And they work to deliver an unwavering commitment to precision and quality in everything they do.

Roles and Responsibilities

Designation  
Director

Reporting to 
Sathiq Ali Sharbudeen

Role type 
Data Engineering Lead

Employment type 
Full-time

Job Requirements

Mandatory Skills

• 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

Primary Roles and Responsibilities

• 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 

Other Information

Number of interview rounds
4

Mode of interview
Virtual/In-Person

Job location
Bangalore

Clean room policy (specific to business)
NA

Culture

• Corporate Social Responsibility programs
• Maternity and paternity leave
• Opportunities to network and connect
• Discounts on products and services

Note: Benefits/Perks listed above may vary depending on the nature of your employment with KPMG and the country where you work.

1. 2021 KPMG Global Services Private Limited, a company incorporated under the laws of India and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited ("KPMG International"), a private English company limited by guarantee. All rights reserved. The KPMG name and logo are trademarks used under license by the independent member firms of the KPMG global organization.
2. The term "KGS" refers to the KGS Platform of Indian delivery entities, which consist of KPMG Global Services Private Limited ("KGSPL"), KPMG Global Services Management Private Limited ("KGSMPL"), KPMG Global Delivery Center Private Limited ("GDCPL") and KPMG Resource Centre Private Limited ("KRCPL"), unless the specific private limited entity is specifically noted.
3. Use in these materials of the term "Our", or "Us" means KGSPL, KGSMPL, GDCPL and/or KRCPL as the case may be and all four such legal entities are referred to collectively as "KGS".
4. Note that Audit services for the clients of the US and Canadian firms are delivered from the GDCPL and for UK (and other firms except US and Canada) Audit services are delivered from KRCPL.

KPMG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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