Sr. Data Architect - Data Engineering

Job description

***Ready to build the future with AI?*** *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 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 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 genpact.com and on LinkedIn, X, YouTube, and Facebook* . Inviting applications for the role of **Sr. Data Architect - Data Engineerin g** ***! Sr. Data Archite* c** *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*** ***tiesAnalytics Solution Developm*** - ***ent:Design, build, and optimize analytics solut*** *ions us* ***ing A*** *zu* ***re, Databr*** *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* - *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 experi* ***ence with Azure clou*** *d 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, C* ***I/CD, and Pu*** *ll Request g* - *overnance.Experience with data