Experience in Data engineering/ architecture, with hands-on experience with Databricks in production environments
Experience with Microsoft Azure Cloud, Microsoft Fabric (One Lake), Power BI and Databricks' native integrations
Proven track record of client-facing delivery — workshops, architecture reviews, executive presentations
Strong SQL and data modeling skills; experience with CI/CD for data pipelines (Databricks Asset Bundles, Repos)
Experience with data mesh/data product architectures on Databricks
Databricks Certified Professional preferred
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Language Proficiency -
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Why join Genpact? • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter • Make an impact – Help global enterprises solve business challenges that mat
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Sr. Data ArchitectReady to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at and on LinkedIn, YouTube, X, and Facebook.
Job DescriptionJob Posting Title: Sr. Data Architect - Data Engineering 3
Job Description: Sr. Databricks Architect will design and deliver enterprise-scale One Lake Fabric solutions for global clients. This role combines deep technical ownership of the Databricks platform with client-facing leadership driving data modernization, AI/ML enablement, and platform adoption across client engagements.
Key Responsibilities:
Lead client discovery and executive-level solutioning, translating complex business requirements into scalable, secure, and high-performance Databricks data architectures.
Own end-to-end data architecture strategy, developing blueprints, data models, integration patterns, and data flows aligned to business and technology objectives.
Drive cloud and data platform modernization and define migration strategies from legacy data warehouses, on-premises platforms, and traditional architectures to Databricks.
Establish enterprise data governance frameworks, defining standards for data quality, lineage, security, privacy, access control, and compliance using Unity Catalog and Databricks-native capabilities.
Define and institutionalize data architecture standards and best practices, ensuring consistency, scalability, interoperability, performance, and long-term maintainability across data platforms.
Evaluate emerging technologies and platform capabilities, recommending strategic tools and solutions that accelerate analytics, AI, data management, and modernization.
Drive platform performance, security, and regulatory compliance, optimizing data infrastructure while ensuring adherence to enterprise security policies, data privacy regulations, and governance requirements.
Serve as the senior technical advisor and client-facing authority, leading technical presentations, architecture reviews, solution workshops, and stakeholder discussions.
Provide technical leadership and mentorship to engineering teams, establishing Databricks best practices and acting as the senior escalation point for complex architecture, performance, and delivery challenges.
Required Qualifications:
Experience in Data engineering/ architecture, with hands-on experience with Databricks in production environments
Experience with Microsoft Azure Cloud, Microsoft Fabric (One Lake), Power BI and Databricks' native integrations
Proven track record of client-facing delivery — workshops, architecture reviews, executive presentations
Strong SQL and data modeling skills; experience with CI/CD for data pipelines (Databricks Asset Bundles, Repos)
Experience with data mesh/data product architectures on Databricks
Databricks Certified Professional preferred
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data ScienceCertifications
Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
Make an impact – Help global enterprises solve business challenges that matter
Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.