{"id":2788210,"url":"https://alion.io/job/persistent-systems-enterprise-architect","title":"Enterprise Architect","company":{"id":59479,"name":"Persistent Systems","domain":"persistent.com","url":"https://alion.io/company/persistent-systems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zwayam","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Scottsdale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":211000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":726},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"GraphQL","optional":false},{"name":"Hadoop","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-12T14:33:35Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T20:26:58Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"description":"About Persistent\nWe 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.\nOur 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.\nAbout Position:\nWe are seeking a highly experienced Enterprise Architect to define and drive the enterprise technology strategy across Data Platforms, Cloud, Cloudera, and Enterprise Integration. The ideal candidate will be responsible for designing scalable, secure, and future-ready architectures leveraging Databricks, Snowflake, Hadoop, Cloud Platforms (AWS/Azure/GCP), APIs, Data Engineering, Automation, and AI/ML technologies. This role will collaborate closely with executive leadership, business stakeholders, engineering teams, and customers to architect enterprise-scale digital, data, and AI platforms that maximize business value, operational efficiency, scalability, and innovation. The successful candidate will serve as a strategic technology leader, driving enterprise architecture governance, modernization initiatives, cloud adoption, and next-generation AI-driven transformation programs.\nRole: Enterprise Architect\n Location: Scottsdale, Arizona (USA)\nExperience: Between 12 to 16 Years\nJob Type: Full Time Employment\nWhat You'll Do:\nDefine enterprise-wide architecture standards, reference architectures, technology blueprints, and roadmap strategies.\nLead architecture governance, solution reviews, and enterprise technology decision-making processes.\nDesign scalable, resilient, secure, and cost-optimized enterprise platforms.\nAlign technology investments and architecture strategies with business goals and digital transformation initiatives.\nDrive cloud adoption, platform modernization, and enterprise engineering programs.\nEstablish technology standards, best practices, and architectural governance frameworks.\nArchitect enterprise data platforms using Databricks, Snowflake, Hadoop, Cloudera, and cloud-native services.\nDesign modern Lakehouse, Data Warehouse, Data Lake, Data Mesh, and Data Fabric architectures.\nDefine enterprise data governance, metadata management, lineage, cataloging, and security frameworks.\nEstablish data quality, observability, compliance, and monitoring standards.\nDesign structured, semi-structured, and unstructured data management strategies.\nDrive enterprise data modernization initiatives and platform consolidation efforts.\nArchitect large-scale ETL and ELT frameworks supporting batch and real-time processing workloads.\nDesign and oversee scalable data pipelines across diverse enterprise data sources.\nDefine data integration patterns using Spark, PySpark, Hadoop ecosystem technologies, and cloud-native services.\nEstablish best practices for data ingestion, orchestration, transformation, and delivery.\nOptimize scalability, performance, reliability, and cost efficiency of enterprise data platforms.\nDrive adoption of modern data engineering practices and automation frameworks.\nDesign enterprise cloud solutions across AWS, Microsoft Azure, and Google Cloud Platform.\nLead cloud migration and application modernization initiatives.\nArchitect highly available, scalable, resilient, and secure cloud-native platforms.\nDefine Infrastructure as Code (IaC), DevOps, CI/CD, and automation strategies.\nEstablish cloud governance, security, networking, compliance, and FinOps best practices.\nDrive platform engineering initiatives for enterprise-scale environments.\nDefine enterprise AI and Machine Learning architecture strategies.\nArchitect MLOps frameworks and model lifecycle management solutions.\nDesign Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and LLM integration architectures.\nEstablish AI governance, security, compliance, monitoring, and responsible AI practices.\nEnable predictive analytics, business intelligence, advanced analytics, and AI-powered decision-making platforms.\nGuide adoption of emerging AI technologies and enterprise AI transformation initiatives.\nDefine enterprise integration architecture and API strategies.\nDesign Microservices, Event-Driven, and API-First architectures.\nEstablish integration patterns leveraging REST APIs, GraphQL, messaging systems, and streaming platforms.\nEnsure secure, scalable, reusable, and governed enterprise integrations.\nDrive modernization of legacy integration ecosystems.\nDefine enterprise testing strategies across data, cloud, API, and application ecosystems.\nArchitect automated testing frameworks for ETL, Data Quality, APIs, AI/ML platforms, and cloud solutions.\nDrive adoption of CI/CD-integrated quality engineering practices.\nEstablish reliability engineering, observability, resiliency testing, and performance testing standards.\nPromote automation-driven quality assurance and operational excellence.\nAct as a trusted technology advisor to executive leadership and key business stakeholders.\nLead architecture review boards, governance councils, and technical strategy forums.\nMentor solution architects, technical leads, engineers, and data architects.\nDrive innovation initiatives and evaluation of emerging technologies.\nBuild strong partnerships with business, engineering, product, and customer teams.\nInfluence enterprise technology direction and long-term digital transformation strategies.\nExpertise You'll Bring:\n12 to 16 years of experience in Enterprise Architecture, Data Architecture, Cloud Architecture, or Technology Leadership roles.\nExtensive experience designing enterprise-scale data platforms and cloud-native solutions.\nStrong expertise in Databricks Lakehouse architecture and implementation.\nHands-on experience with Snowflake enterprise data platforms.\nDeep knowledge of Cloudera and Hadoop ecosystem technologies including HDFS, Hive, Spark, and YARN.\nExpertise in Data Warehouse, Data Lake, Lakehouse, Data Mesh, and Data Fabric architectures.\nStrong experience in Data Engineering, ETL/ELT architecture, and enterprise-scale data pipelines.\nAdvanced knowledge of Apache Spark, PySpark, Kafka, streaming, and real-time processing frameworks.\nExperience implementing data quality, observability, lineage, governance, and metadata management solutions.\nStrong knowledge of AWS, Azure, and Google Cloud Platform services and architecture patterns.\nExperience defining Infrastructure as Code strategies using Terraform, CloudFormation, or equivalent platforms.\nStrong understanding of cloud security, networking, governance, compliance, and FinOps principles.\nExperience designing AI/ML platforms, MLOps frameworks, and machine learning lifecycle management solutions.\nKnowledge of Generative AI, Large Language Models (LLMs), Agentic AI, Vector Databases, and RAG architectures.\nStrong expertise in API management, Microservices, Event-Driven Architecture, GraphQL, and enterprise integrations.\nHands-on experience with DevOps, CI/CD pipelines, GitHub, GitLab, Jenkins, Docker, and Kubernetes.\nExperience architecting enterprise testing, automation, data validation, and quality engineering frameworks.\nStrong expertise with SQL Server, Snowflake, PostgreSQL, Oracle, and NoSQL databases.\nProven track record of leading enterprise modernization and digital transformation programs.\nExcellent communication, leadership, stakeholder management, and executive presentation skills.\nBenefits:\nCompetitive salary and benefits package\nCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications\nOpportunity to work with cutting-edge technologies\nEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awards\nAnnual health check-ups\nInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents\nValues-Driven, People-Centric & Inclusive Work Environment:\nPersistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.\nWe support hybrid work and flexible hours to fit diverse lifestyles.\nOur office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.\nIf you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.\nLet's unleash your full potential at Persistent - persistent.com/careers\n\"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.\"","description_format":"text","description_chars":9561,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Growth opportunities","Hybrid work","Insurance coverage"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Health Care","Information Technology","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-10-17T17:06:51Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.503,"p_room":0.28,"age_days":66,"expected_fill_days":30,"reasons":["conf:1","win:tail","crowd:brand"],"computed_at":"2026-10-17T21:35:49Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-enterprise-architect","json_url":"https://alion.io/job/persistent-systems-enterprise-architect.json","meta":{"generated_at":"2026-10-17T21:35:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6296,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":59479},"rest":"https://alion.io/mcp/rest/get_company?id=59479"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpersistent-systems-enterprise-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpersistent-systems-enterprise-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpersistent-systems-enterprise-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/persistent-systems-enterprise-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-enterprise-architect"}]}