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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TechnologistTechnology|data science - **Company:** Infosys - **Location:** Houston, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Airflow, Data Analysis, Apache HTTP Server, Automation of Tests, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Program Optimization, Software Quality, Cyber Security, Computer Programming, Databases, Data Architecture, Data Discovery, Data Files, Data Governance, Data Integration, Data Security, Software Debugging, Decision Support Systems, Software Design Patterns, DevOps, Elasticsearch, Apache Hadoop, Apache HBase, Apache Hive, Data Intelligence, Python (Programming Language), Machine Learning, Neo4j, OpenShift, Cloudera, Requirements Management, Scala (Programming Language), Software Engineering, Sqoop, Strategies of Testing, Data Processing, Scripting, Data Classification, Snowflake, Grafana, Multi-Agent Systems, Apache Spark, Generative AI, Core Api, Containerization, Data Lakes, Pyspark, Kubernetes, Production Code, Star Schema, Apache Kafka, Apache Nifi, Data Management, Tez (Software), Elk Stack - **Published:** September 11, 2026 - **Apply:** https://www.careerbuilder.com/job-details/big-data-architect-houston-tx--a48c377e-9eeb-43a8-8da7-8c350d7fe970 ## About the Role Senior TechnologistTechnology|data science|PYTHON Technology|Machine Learning|Generative AI Technology|Data Management|Data Architecture Technology|Data Security|Data Classification & Data Discovery Technology|Big Data - Data Processing|PySpark Core development experience in below stacks: * Experience in Scala or Python or Spark or Hadoop application development * Experience in end-to-end implementation of projects using Cloudera Hadoop, Spark, Hive, HBase, Sqoop, Kafka, Elasticsearch, Grafana, ELK stack * Experience in AI-Powered Intelligent Data Integration & Transformation and also expertise in AI-powered data lakes * Proven experience in architecting and administering Snowflake, Azure, and Google Big Data platforms. * Strong understanding of cloud infrastructure, data integration, and analytics workflows. * Experience in Categorizing, cataloging, cleansing and normalizing of datasets * Hands-on experience with platform monitoring, automation, and DevOps tools. * Experience in managing hybrid environments (on-prem and cloud). * Excellent communication and leadership skills. * Knowledge of data governance, security, and compliance frameworks. * Technical Ability to build bespoke AI agents, multi-agent systems using Python and frameworks like LangGraph, LangChain to build applications tailored to nuanced, real-world business needs. * Build AI-assisted workflows (classification, enrichment, response generation, decision support) and Implement structured outputs, prompt pipelines, and reliability safeguard. * Sound Knowledge of Software engineering design patterns and practices * Experience with Ranger, Atlas, Tez, Hive LLAP, Neo4J, NiFi, Airflow, or any DAG based tools * Knowledge and experience with Cloud and containerization technologies: Azure, Kubernetes, OpenShift and Dockers * Planning and Co-ordination skills * Experience and desire to work in a Global delivery environment. * Ability to work in team in diverse/ multiple stakeholder environment. * A high degree of initiative and flexibility * High customer orientation * Excellent verbal and written communication skills * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. * This position may require relocation and/or travel to work/project location. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future., Apache HBase, Apache Hadoop, Apache Hive, Apache Spark, Apache Sqoop, Apiary/Beekeeping, Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Benchmarking, Best Practices, Big Data, Cataloguing, Cloud Architecture, Cloud Computing, Cloudera, Communication Skills, Computer Programming, Consulting, Continuous Improvement, Customer Relations, Data Analysis, Data Management, Data Processing, Data Science, Data Sets, DataArchitect Data Modeling Tool, Debugging Skills, Decision Support, Design Patterns Programming Methodologies, DevOps, Ecosystems, Elasticsearch, Emerging Technology, Establish Priorities, Healthcare Reimbursement, Hospital, Industry/Trade Analysis, Information/Data Security (InfoSec), Insurance, Leadership, Legal, Life Insurance, Machine Learning, Medical Conditions, Mentoring, Microsoft Windows Azure, Neo4j, Organizational Skills, Performance Management, Performance Metrics, Presentation/Verbal Skills, Process Improvement, Project Evaluation, Proof of Concept, Python Programming/Scripting Language, QoS (Quality of Service), Requirements Management, Risk, Risk Management, Scala Programming Language, Snowflake Schema, Software Design, Software Development, Software Engineering, Systems Administration/Management, Team Player, Technical Leadership, Technical Strategy, Technical/Engineering Design, Test Automation, Test Strategy, Time Management, Use Cases, Vision Plan, Willing to Travel, Workflow Analysis, Writing Skills ## Description 2246091No5439234810.00.005/25/2026Big Data ArchitectIn the assigned Job Role of Senior Technologist, your Area Of Responsibility will be as below: Evaluate project requirements and use cases to deliver high-quality, design, frameworks, and production-ready code work products. Design technology frameworks for complex scenarios, develop design patterns and reference implementations. Design reusable assets and conduct design reviews. Deliver high-quality code across applications, databases, and integrations. Optimize code, debug complex routines, and develop code generators and pilot implementations for reusable components, ensuring defect-free production-ready code. Work closely with other teams to ensure alignment on project goals and technology implementations. Provide technical guidance to peers and help maintain delivery consistency and code quality Identify proof of concepts (PoCs) for emerging programming independently develop PoCs for new technologies and complex modules ensuring timely delivery. Provide inputs for multi-technology and multi-language high risk deployments. Evaluate and implement technical services to meet high-quality service (QoS) requirements, ensuring alignment with business and IT key performance indicators (KPIs). Create reusable assets and deliver defect-free, impactful code to achieve quality benchmarks and Zero-Defect Delivery. Support complex projects by resolving technical challenges and reducing risk exposure. Stay updated on emerging technologies and industry trends to inform decision-making and enhance project outcomes. Support test automation and execute test strategies to drive quality improvements. Your contribution to the team: The ability to apply expertise in designing scalable architectures and frameworks for complex technology challenges. Bring a strategic mindset to building reusable components and ensuring high-quality, defect-free delivery. Share knowledge and passion for mentoring by guiding peers and fostering technical excellence across projects. The ability to assess and adopt emerging technologies, translate them into PoCs and deployment ready solutions. Drive performance improvements through advanced engineering practices, meeting demanding service benchmarks. A knack for anticipating risks and resolving technical challenges, ensuring resilience and long-term project success.148567BRArizona, North Carolina, TexasUSAInfosys Limited Senior TechnologistITL USA Charlotte, NC, Houston, TX, Phoenix, AZ, Raleigh, NC, Richardson, TXBig Data Architect ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)