Job Description & How to Apply Below
At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform m 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 what’s 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 and on Linked In, X, You Tube, and Facebook.
Inviting applications for the role of Sr. Data Architect - Data Engineering
!
Sr. Data Architec t is a senior technical individual contributor role focused o n designing, building, and optimizing analytics and data solutions for Corporate Te ch. This role partners closely with product managers, engineers, architects, and business stakeholders t o 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 Az ur e, Databri ck s, Azure Data Factory (A DF), a nd Azure Data Lake Storage (AD LS) 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
ties Analytics Solution Developm
ent:
Design, build, and optimize analytics solut ions us ing A zu re, Data ic ks, 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 processe s for Pull Re quests, 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
with platform and engineering teams to improve reliability, performance, and cost efficiency of analytics wor
kloads.
Monitor…
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