{"id":3325607,"url":"https://alion.io/job/cognizant-data-architect-azure-data-platform-ai","title":"Data Architect – Azure Data Platform & AI","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"A","score":90,"open_postings":159,"ghost_share":0.013,"stale_share":0.535,"repost_share":0.038,"time_to_fill_p50_days":21,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brisbane, Australia"],"countries":["AU"],"hiring_countries":["AU"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":175000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":781},"experience_years_min":16,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"RAG","optional":false},{"name":"Agile","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Azure Cosmos DB","optional":true},{"name":"Azure DevOps","optional":true},{"name":"ChatGPT","optional":true},{"name":"CI/CD","optional":true},{"name":"Data Vault","optional":true},{"name":"Delta Lake","optional":true},{"name":"Jira","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Waterfall","optional":true}],"status":"live","first_seen_at":"2026-10-27T02:10:32Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T20:23:09Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating many opportunities for people like YOU - people with an entrepreneurial spirit who want to make a difference in this world.\nAt Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world’s leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.\nPosition Summary:\nWe are seeking an experienced Data Architect with deep expertise in Azure Data Engineering, Microsoft Fabric, Databricks, PySpark, ETL/ELT development, Data Modeling, Data Warehousing, AI/Generative AI, and cloud-based analytics platforms. The ideal candidate will be responsible for defining and implementing enterprise data architecture, designing scalable and reusable data models, and delivering modern data solutions that support analytics, reporting, machine learning, and AI-driven initiatives.\nThe role requires hands-on experience in designing, building, optimizing, and supporting scalable data solutions across batch, streaming, API-based, and file-based ingestion frameworks. The candidate should possess strong knowledge of conceptual, logical, and physical data modeling, dimensional modeling, star and snowflake schemas, data governance, master data management, and enterprise data integration patterns.\nExperience with Microsoft Fabric, including OneLake, Lakehouse, Data Factory, Data Warehouse, Real-Time Analytics, and Power BI, is required. Additionally, hands-on experience with AI and Generative AI solutions, including Azure AI Services, Azure OpenAI, Retrieval-Augmented Generation (RAG), vector databases, AI-powered analytics, Copilot implementations, and machine learning integration with data platforms, is highly desirable.\nThe successful candidate will be responsible for delivering reliable, secure, scalable, and high-performing data pipelines while collaborating with business stakeholders, solution architects, and cross-functional delivery teams in Agile and Waterfall environments. The role also includes driving data strategy, ensuring data quality, performance optimization, security, governance compliance, and enabling advanced analytics and AI capabilities across modern cloud-based data ecosystems.\nMandatory Skills:\nProven hands-on experience in designing, architecting, developing, and delivering enterprise-scale data engineering, analytics, and AI-powered solutions using Microsoft Fabric, Azure Databricks, Databricks SQL, Databricks Workflows, PySpark, and cloud-native technologies across complex business environments.\nStrong expertise in designing and implementing scalable data architectures, distributed data pipelines, ETL/ELT frameworks, real-time and batch processing solutions, and high-performance analytics platforms leveraging modern cloud ecosystems.\nExtensive experience with Microsoft Fabric (OneLake, Lakehouse, Data Factory, Data Warehouse, Real-Time Analytics, and Power BI) and Azure Databricks, including Unity Catalog, Delta Live Tables (DLT), Delta Lake, and Azure Data Lake Storage (ADLS) for secure, governed, and reliable data management.\nDemonstrated capability in architecting and implementing enterprise-scale Lakehouse and Data Mesh solutions, ensuring data quality, governance, lineage, security, compliance, and operational excellence.\nStrong expertise in data modeling, including conceptual, logical, and physical data models, dimensional modeling, star and snowflake schemas, data vault modeling, and semantic layer design to support analytics and business intelligence requirements.\nProficiency in Python, PySpark, SQL, and Spark-based frameworks for developing robust, optimized, reusable, and scalable data processing and analytical workloads.\nExperience in designing and implementing AI/Generative AI solutions, including Azure OpenAI, Azure AI Services, Retrieval-Augmented Generation (RAG), vector databases, AI-powered analytics, and enterprise Copilot integrations.\nStrong experience with Azure DevOps, CI/CD pipelines, Infrastructure as Code (IaC), release management, version control, and Agile delivery methodologies to support continuous integration and deployment practices.\nDeep understanding of data architecture principles, cloud architecture patterns, performance optimization techniques, security frameworks, governance models, and cloud-native solution design for large-scale enterprise data ecosystems.\nExperience in requirements analysis, solution architecture, effort estimation, resource planning, proposal preparation, technical leadership, stakeholder management, and delivery governance for data modernization and digital transformation initiatives.\nStrong exposure to Agile ways of working, including Sprint Planning, Backlog Grooming, PI Planning, SAFe practices, Retrospectives, and cross-functional collaboration across distributed teams.\nExcellent communication, presentation, consulting, and leadership skills with the ability to influence strategic decisions, establish trusted client relationships, define data strategy and roadmaps, and drive customer-centric business outcomes.\nExperience in defining and implementing data governance, metadata management, master data management (MDM), data quality frameworks, and enterprise data standards to support regulatory and business requirements.\nRoles And Responsibilities:\nCollaborate with business stakeholders, solution architects, AI specialists, and development teams to gather, analyze, and translate complex business requirements into scalable data, analytics, and AI-driven platform solutions.\nLead end-to-end delivery of enterprise Data Warehouse, Data Lake, Lakehouse, Analytics, and AI initiatives using Microsoft Fabric, Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake Storage Gen2, and Azure AI Services.\nDesign and implement robust ETL/ELT frameworks for batch, streaming, API-based, and file-based data ingestion using Microsoft Fabric Data Factory, Python, PySpark, Event Hub, Databricks, and cloud-native integration services.\nPerform source system analysis, data profiling, data discovery, and data mapping activities to ensure accurate, secure, and efficient migration and integration of business-critical data assets.\nDevelop and optimize data pipelines, transformation frameworks, semantic models, and analytical solutions to improve performance, scalability, and operational efficiency across enterprise data platforms.\nEstablish and enforce data quality, validation, governance, metadata management, and lineage standards by implementing automated monitoring, reconciliation, and compliance controls across data ecosystems.\nLead the design and implementation of Lakehouse architectures, enterprise data models, and AI-ready data foundations to support advanced analytics, machine learning, and Generative AI use cases.\nDesign, develop, and integrate AI/Generative AI solutions, including Azure OpenAI, Retrieval-Augmented Generation (RAG), vector search, AI-powered analytics, and enterprise Copilot capabilities, leveraging governed enterprise data assets.\nLead technical teams across multiple projects, providing guidance on architecture, data modeling, AI integration, design patterns, coding standards, performance tuning, security, and cloud best practices.\nManage the complete project delivery lifecycle, including requirements gathering, solution architecture, estimation, sprint planning, development, testing, deployment, production support, and continuous improvement initiatives.\nDrive Agile delivery practices through sprint planning, backlog refinement, status reporting, dependency management, risk mitigation, and stakeholder communication using Azure DevOps, Jira, and Microsoft Fabric monitoring capabilities.\nWork closely with business users, data stewards, data owners, and cross-functional teams to resolve data-related issues and ensure successful implementation of business and AI requirements.\nDesign and implement conceptual, logical, and physical data models, including dimensional models, Fact and Dimension tables, Data Vault structures, and semantic layers, leveraging industry-standard methodologies such as SCD Type 1 and Type 2.\nArchitect and implement Microsoft Fabric solutions, including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Analytics, and Power BI, to deliver unified and scalable enterprise analytics platforms.\nFacilitate customer engagements, AI strategy workshops, technical design sessions, solution walkthroughs, and architecture reviews to align business objectives, data strategy, and AI transformation roadmaps with technical deliverables.\nDefine and promote enterprise data governance, security, privacy, and compliance standards while enabling self-service analytics, trusted data products, and AI innovation across the organization.\nQualifications/Certifications:\n16+ years of IT experience in data engineering, data warehousing, ETL/ELT development, cloud data platforms, and technical delivery leadership.\nMicrosoft Certified: DP-900 Microsoft Azure Data Fundamentals.\nMicrosoft Certified: AZ-900 Azure Fundamentals.\nDatabricks Data Engineer Associate Certification.\nLed modern data platform development using ADF, Databricks, Synapse, Cosmos DB, Kafka.\nBuilt scalable ingestion and transformation pipelines.\nGenerative AI (ChatGPT, Copilot) for data insights and automation.\nPrompt Engineering & AI-assisted analytics.\nAPI Integration & AI model consumption.\nMachine Learning fundamentals.\nSalary Range: >$100,000\nDate of Posting: 27-Oct-26\nNext Steps: If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.\nFor a complete list of open opportunities with Cognizant, visit http://www.cognizant.com/careers. Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check","description_format":"text","description_chars":10107,"description_truncated":false,"requirements":{"experience_years_min":16,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Australia","iso":"AU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","IT Outsourcing & Dedicated Teams","Engineering Services","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-10-27T09:51:02Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":21,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/cognizant-data-architect-azure-data-platform-ai","json_url":"https://alion.io/job/cognizant-data-architect-azure-data-platform-ai.json","meta":{"generated_at":"2026-10-30T00:45:51Z","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":1034,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":85},"rest":"https://alion.io/mcp/rest/get_company?id=85"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcognizant-data-architect-azure-data-platform-ai"},{"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%2Fcognizant-data-architect-azure-data-platform-ai"},{"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%2Fcognizant-data-architect-azure-data-platform-ai"},{"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/cognizant-data-architect-azure-data-platform-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcognizant-data-architect-azure-data-platform-ai"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3325607}},{"tool":"search_jobs","arguments":{"company":"cognizant.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3325607},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}