{"id":3333259,"url":"https://alion.io/job/genpact-principal-data-architect-2","title":"Principal Data Architect","company":{"id":3547,"name":"Genpact","domain":"genpact.com","url":"https://alion.io/company/genpact","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":132,"ghost_share":0.053,"stale_share":0.553,"repost_share":0.091,"time_to_fill_p50_days":32,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":210000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T12:41:58Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-08T12:50:50Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Principal Data ArchitectReady to turn bold ideas into real-world impact?\nAt 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.\nIf 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. \nGenpact (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.\nGet to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.\nJob Description\nResponsibilities\nPractice Leadership\nDefine and execute the global Data Architecture & Engineering strategy aligned with Genpact's Data, AI, and Digital vision.\nBuild differentiated offerings across Data Engineering, Lakehouse, Data Products, AI-ready data foundations, and enterprise modernization.\nEstablish reusable assets, accelerators, methodologies, and reference architectures.\nDrive practice growth, capability expansion, and strategic investments.\nClient Advisory\nServe as Executive Data Advisor to CIOs, CDOs, CTOs, and business leaders.\nLead executive workshops on enterprise data strategy, modernization, AI readiness, and cloud transformation.\nShape multi-year transformation roadmaps aligned with business outcomes.\nInfluence executive stakeholders and position Genpact as a strategic transformation partner.\nData Architecture\nLead data architecture for large, complex transformation opportunities.\nDesign enterprise-scale architecture spanning cloud platforms, data engineering, AI, governance, and analytics.\nEnsure architectural consistency across global client engagements.\nEstablish best practices for scalable, secure, and AI-ready data ecosystems.\nGrowth\nPartner with Sales and Client Partners to originate and close strategic opportunities.\nPartner with solutioning for large pursuits, RFPs, and executive presentations.\nDevelop differentiated value propositions and commercial models.\nSupport account expansion through technology consulting and innovation.\nPartner with alliance teams - Snowflake, Databricks to scale practice . Collaborate with hyperscaler alliance team to co-innovate solutions\nDelivery Leadership\nProvide executive oversight for large transformation programs.\nGuide architecture teams across multiple global delivery centers.\nEnsure delivery excellence, quality, governance, and client satisfaction.\nResolve complex technical and organizational challenges.\nInnovation\nDefine Genpact's point of view on Data architecture and Engineering.\nEvaluate emerging technologies and establish strategic partnerships.\nBuild reusable accelerators leveraging GenAI, automation, and modern engineering practices, defined path and vision towards to autonomous data engineering\nTalent Development\nBuild and mentor a global data architecture and engineering community.\nDevelop capability roadmaps, certifications, and technical career paths.\nAttract senior architects and engineering leaders.\nFoster a culture of innovation, collaboration, and continuous learning.\nenterprise data consulting and architecture.\nleading large Data Engineering or Data Architecture practices.\nProven success advising Fortune 500 executives.\nExperience leading multi-million-dollar transformation programs.\nTrack record of growing consulting practices and winning strategic deals.\nExperience in scaling and managing global practice organizations.\nTechnical Expertise\nModern Data Platforms and AI\nDatabricks\nSnowflake\nMicrosoft Fabric\nFamiliarity with cloud infra like AWS, Google\nFamiliarity with Agentic AI enablement , Vector Databases , RAG architecture\nData Engineering\nSpark\nDelta Lake\nKafka\nAirflow\ndbt\nPython\nSQL\nStreaming architectures\nData Architecture\nData Mesh\nData Products\nLakehouse Architecture\nData Virtualization\nAPI-first Architecture\nEvent-driven Architecture\nMicroservices\nMiddleware & Enterprise Integration\nLeadership Competencies\nExecutive presence\nStrategic Advisory / Story telling\nData Architecture\nPractice Building\nFinancial Acumen\nExecutive Communication\nTalent Development \nQualifications\nBachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data ScienceCertifications\nCertified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracleRequired Skills\nAccounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims Management, Client Relations, Cloud Computing, Collaboration Tools, Commercial Excellence, Commercial Modeling, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion {+ 28 more}Language\nEnglish (Required)Language Proficiency -\nProficient - C2Additional Job Location -\nJob Type\nRegularMaster Skill List -\nData EngineeringRemote Type -\nHybridWork Shift -\nDay Job (United States of America)The approximate annual base compensation range for this position is:\n210,000 to 300,000 USD“Los Angeles California-based candidates are not eligible for this role”\nThe actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity.\nWhy join Genpact?\nLead AI-powered transformation - Drive innovation and solve real-world business challenges that matter\nMake an impact - Help global enterprises solve business challenges that matter \nAccelerate your career - Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead\nWork with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day \nThrive 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. 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