Data Analytics Architect

About PersistentWe are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026.About PositionRole: Data Analytics ArchitectLocation: Austin TX / Southlake TXExperience: 15+ yearsJob Type: Full TimeMandatory Skills: Data Architect, Informatica, IICS, GCP, Big QueryWe are seeking an experienced Senior Data Analytics Architect with over 15 years of expertise in designing and delivering enterprise-scale data, analytics, and AI-enabled solutions. This role will lead the architecture, design, and implementation of modern data analytics platforms on Google Cloud Platform (GCP), enabling advanced analytics, data warehousing, and artificial intelligence use cases.The Senior Data Analytics Architect will work closely with Product teams, development and production support teams, business users, and data consumers to ensure data solutions are scalable, reliable, secure, and aligned with business objectives.Expertise You'll Bring15+ years in Data Architecture, Data Analytics, Data Governance, Data Warehousing and architectural thought leadershipProven experience with data strategy, roadmap, and end-to-end data landscapeStrong hands-on experience with GCP, especially Big QueryExpertise in Informatica IDMCAdvanced Complex SQL and Python skillsExperience designing enterprise data warehouse & analytics solutionsAbility to support and guide development and production systemsStrong business, communication, and stakeholder management skillsGCP Certification (Professional Data Engineer / Cloud Architect)Experience with GCP Pub/Sub and Cloud ComposerExposure to AI/ML ready data architecturesBQ Data Modeling and EDCCloud cost optimization experienceConsulting or large enterprise experienceExposure to security and compliance frameworks in enterprise data platformsWhat You’ll DoDefine and own the enterprise data and analytics architecture, aligning with business strategy and long-term analytics roadmap.Architect end-to-end data warehousing, analytics, and AI-ready data platforms.Design logical, physical, and analytical data models to support reporting, dashboards, advanced analytics, and AI/ML workloads.Establish architecture standards, design patterns, and best practices for analytics and data platforms.Architect data ingestion, streaming, and batch pipelines using Informatica IDMC, Pub/Sub, and Cloud ComposerDesign and implement cloud-native analytics solutions on GCP, with a strong focus on Big Query.Architect scalable data warehouses and analytics layers optimized for high-performance querying.Design and oversee data ingestion, transformation, and orchestration pipelines using Informatica IDMC.Enable analytics and AI use cases by ensuring data is well-structured, governed, and accessible.Support advanced analytics and AI initiatives by designing data architectures optimized for machine learning and data science workloads.Collaborate with analytics and AI teams to ensure data availability, quality, and performance.Ensure the data platform supports exploratory analytics, predictive modeling, and AI-driven insights.BenefitsCompetitive salary and benefits packageCulture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certificationsOpportunity to work with cutting-edge technologiesEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awardsAnnual health check-upsInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parentsOur company fosters a values-driven and people-centric work environment that enables our employees to:Accelerate growth, both professionally and personallyImpact the world in powerful, positive ways, using the latest technologiesEnjoy collaborative innovation, with diversity and work-life wellbeing at the coreUnlock global opportunities to work and learn with the industry’s bestLet’s unleash your full potential at Persistent - persistent.com/careers For more details, please contact Bharath Veluru (bharath_veluru@persistent.com)“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”