Sr. Data Architect - Data Engineering

Ready to build the future with AI?

At Genpact, we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries, and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to 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 whats possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Sr. Data Architect - Data Engineering

!
Sr. Data Architect is a senior technical individual contributor role focused on designing, building, and optimizing analytics and data solutions for Corporate Tech. This role partners closely with product managers, engineers, architects, and business stakeholders to translate business needs into scalable data models, pipelines andsemantic layers, that improve decision-making across enterprise technology functions. The role is responsible for delivering reliable, governed, and high-performing analytics products while continuously improving engineering standard

s.
This role emphasizes leveraging modern data platforms such as Azure, Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) to deliver enterprise-grade analytics solutions for Corporate Tech. It includes developing robust data pipelines andsemantic models,; enforcing development standards and governance; and partnering across teams to improve platform reliability, data quality, observability, and operational efficien

cy.Operating in a global environment, the role partners with Corporate Tech stakeholders, data platform teams, security, and IT teams to deliver scalable, secure, and governed analytics products that support enterprise prioriti

es.
What will be your key responsibili

tiesAnalytics Solution Developm

• ent:Design, build, and optimize analytics solutions using Azure, Databricks, ADF, and ADLS, ensuring performance, scalability, and maintainabil
• ity.Build and maintain robust data pipelines for ingestion, transformation, and curation of Corporate Tech d
• ata.Apply engineering best practices across analytics workflows, including testing, deployment, documentation, security, and performance optimizat

ion.
Data Products and Stakeholder Deli

• very:Partner with stakeholders to understand business requirements, define metrics, and deliver analytics products that meet user n
• eeds.Translate complex business processes into scalable data models, reusable datasets, and meaningful
• KPIs.Support prioritization and delivery of analytics enhancements, balancing speed, quality, and long-term sustainabi
• lity.Provide production support for analytics solutions, troubleshooting issues and driving continuous improve

ment.
Governance and Quality Assu

• rance:Implement and follow governance processes for Pull Requests, coding standards, peer reviews, and release manag
• ement.Promote data governance practices including metadata management, documentation, lineage, and data quality con
• trols.Ensure analytics solutions align with enterprise architecture, security requirements, and global stan
• dards.Collaborate with other Azure teams to align on and incorporate Best Pra

ctices
Operational Excellence and S

• upport:Support deployment and transition of analytics solutions into production with appropriate monitoring and documen
• tation.Collaborate with platform and engineering teams to improve reliability, performance, and cost efficiency of analytics wor
• kloads.Monitor solution health, investigate incidents, and resolve data or reporting issues related to data with minimal business disr

uption.
Collaboration and Stakeholder Eng

• agement:Collaborate closely with engineers, architects, product owners, and business stakeholders to shape scalable analytics so
• lutions.Act as a trusted technical partner across regional and global teams, ensuring alignment on requirements, definitions, and delivery app
• roaches.Mentor other developers by sharing best practices, reviewing code, and contributing to a culture of continuous impr

ovement.
Continuous Improvement and In

• novation:Identify opportunities to modernize analytics assets, improve reusability, and streamline data flows across Corporate Tech
• domains.Evaluate and apply advanced analytics techniques, automation, and emerging technologies where they add measurab
• le value.Contribute to the evolution of analytics standards, frameworks, and reusable components across the orga

nization.
What are we lo

• oking for?Technical
• Expertise:Strong hands-on experience with Azure cloud services (ADF, ADLS, Databricks) and enterprise analytics de
• velopment.Strong knowledge of SQL, Python, and Spark for data engineering, analytics, and performance opt
• imization.Experience implementing development best practices including version control, testing, CI/CD, and Pull Request g
• overnance.Experience with data governance, metadata management, and data quality
• practices.Delivery and Coll
• aboration:Proven ability to partner with cross-functional teams and translate complex requirements into robust analytics
• solutions.Experience working in agile product or project environments with strong ownership and accou
• ntability.Ability to influence technical decisions and mentor peers through hands-on l
• eadership.Corporate Tech / Enterprise Analytics
• Knowledge:Familiarity with enterprise functions such as digital workplace, infrastructure, cybersecurity, finance systems, HR systems, or other Corporate Tech domains
• is a plus.Experience supporting enterprise platforms and shared services analytics in a global environment is
• preferred.So
• ft Skills:Strong problem-solving and analytical thinki
• ng skills.Excellent communication skills, with the ability to explain technical concepts to technical and non-technical

audiences.
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that ma

tters: Up. Lets 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 i

nnovation. 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 o