{"id":2163523,"url":"https://alion.io/job/cognizant-data-platform-architect-databricks-aws","title":"Data Platform Architect – Databricks (AWS)","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":"B","score":80,"open_postings":81,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":187000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"GDPR","optional":false},{"name":"IAM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-07-31T10:30:02Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T00:41:54Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Data Platform Architect - Databricks (AWS)\nThe Company\nCognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 350,000 employees globally. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500, and is recognized among the fastest growing companies worldwide.\nData & AI Consulting - Public Sector\nCognizant’s Data & AI Consulting practice partners with government agencies and public sector organizations to modernize data ecosystems, accelerate cloud adoption, and unlock value through trusted, data-driven decision making. Our teams help clients establish secure, scalable, and governed data platforms that support enterprise-wide analytics, artificial intelligence, and digital transformation initiatives.\nThis role offers the opportunity to help shape one of the most significant public sector data modernization programs in the UK, establishing a Databricks-based Lakehouse platform on AWS that will become the strategic foundation for future data and analytics capabilities.\nAbout the Role\nAs a Data Platform Architect - Databricks (AWS), you will lead the architecture and design of a modern enterprise data platform built on Databricks and AWS. You will define the foundational architecture, governance standards, security controls, integration patterns, and operational frameworks that enable scalable, secure, and self-service data capabilities across the organization.\nWorking closely with data engineers, cloud architects, platform teams, cybersecurity stakeholders, and program leadership, you will establish the technical direction of the platform and ensure it supports both current and future business needs.\nKey Responsibilities\nPlatform Architecture & Design\nLead the end-to-end architecture and design of the Databricks Lakehouse platform on AWS\nDefine foundational architecture components including landing zones, medallion architecture (Bronze, Silver, Gold), storage architecture, and compute strategies\nEstablish scalable platform standards, frameworks, and engineering patterns to support enterprise-wide data initiatives\nDesign platform capabilities that support both batch and real-time streaming workloads\nDefine data access, consumption, and serving patterns that enable trusted and governed self-service analytics\nEnsure platform architecture is aligned with enterprise data strategy and long-term modernization objectives\nAWS Infrastructure & Integration\nDesign and govern the AWS infrastructure supporting the Databricks platform, including networking, security, storage, and identity architecture\nDefine integration patterns with internal systems and AWS services including S3, Glue, Kinesis, EventBridge, and related data services\nEstablish infrastructure-as-code standards using Terraform or equivalent tooling\nCollaborate with DevOps and Cloud Engineering teams to implement automated deployment and configuration management practices\nEnsure platform scalability, resiliency, performance, and operational efficiency across environments\nSecurity, Governance & Compliance\nEmbed security-by-design principles into all platform architecture decisions\nLead the implementation and governance of Unity Catalog, including metastore design, workspace governance, and access control frameworks\nEnsure compliance with public sector security requirements, GDPR, and applicable regulatory frameworks\nDefine platform-wide monitoring, observability, audit logging, and alerting capabilities\nCollaborate with Cyber Security, Risk, and Data Governance teams to establish enterprise governance controls and operational guardrails\nTechnical Leadership & Standards\nServe as the senior technical authority for the Databricks platform architecture\nEstablish engineering best practices covering Delta Lake design, workload orchestration, compute optimization, and cost management\nProvide technical assurance across platform implementation activities delivered by internal teams and external partners\nDefine reusable architecture patterns, standards, and accelerators that improve consistency and delivery quality\nContinuously evaluate emerging Databricks and AWS capabilities and recommend innovative platform enhancements\nStakeholder Management & Advisory\nEngage with senior client stakeholders, program leadership, and governance boards to communicate architecture decisions and technical strategy\nTranslate complex architecture concepts into clear and business-friendly communications\nFacilitate architecture reviews, technical workshops, and design governance sessions\nBuild strong relationships across business, engineering, security, cloud, and operational teams\nSupport strategic planning and roadmap development for future platform evolution\nSkills & Experience\nDomain Expertise\nStrong experience designing and implementing enterprise-scale data platforms and modern Lakehouse architectures\nDeep understanding of data modernization strategies, cloud-native data ecosystems, and enterprise analytics platforms\nExperience delivering large-scale data transformation programs within public sector or regulated industries\nKnowledge of enterprise data governance, security, and compliance principles\nFunctional Skills\nProven ability to lead architecture design and technical decision-making across complex data programs\nStrong expertise in architecture standards, governance frameworks, and solution assurance processes\nAbility to define scalable operating models and platform governance structures\nExcellent communication, stakeholder engagement, and consulting capabilities\nExperience translating business requirements into strategic platform architecture solutions\nTechnical Skills\nDeep expertise in Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, Workflows, and cluster management\nStrong experience designing cloud-native data platforms on AWS\nHands-on knowledge of AWS services including S3, IAM, VPC, Glue, Kinesis, EventBridge, and CloudWatch\nStrong understanding of medallion architecture, large-scale data lake implementations, and data engineering patterns\nExperience with Infrastructure-as-Code tools such as Terraform\nKnowledge of DevOps, CI/CD, platform automation, and cloud-native operational practices\nFamiliarity with Apache Spark, dbt, and modern data integration technologies\nDelivery Experience\nExperience leading architecture for enterprise-wide Databricks implementations and cloud data modernization initiatives\nProven success delivering scalable and secure data platforms in complex environments\nExperience collaborating with cross-functional teams including cloud engineering, cybersecurity, operations, and governance functions\nExperience supporting greenfield platform builds, legacy modernization programs, and large-scale migrations\nExperience working within UK Public Sector, Government, or other highly regulated environments preferred\nPersonal Attributes\nStrong communicator with the ability to engage effectively at both technical and executive levels\nStrategic thinker who balances immediate delivery requirements with long-term platform vision\nAnalytical and solution-oriented mindset with strong problem-solving capabilities\nCollaborative leader who can align diverse stakeholder groups around shared architectural goals\nProactive and forward-looking, with an ability to identify risks, dependencies, and opportunities early\nAdaptable and resilient in fast-paced transformation environments\nContribution to Development of Practice\nContribute to Cognizant’s Data & AI Consulting capabilities in cloud data platforms and Databricks architecture\nDevelop reusable platform blueprints, reference architectures, governance models, and accelerators\nSupport knowledge sharing, mentoring, and capability development within the architecture community\nContribute to thought leadership, proposals, client workshops, and innovation initiatives related to Databricks, AWS, and modern data platforms\nPromote engineering excellence and architecture best practices across client engagements\nIndustry Experience\n10+ years of experience in Data Platform Architecture, Data Architecture, Cloud Architecture, or related disciplines\nProven experience delivering enterprise Databricks implementations and Lakehouse architecture solutions\nExtensive experience designing cloud-native data platforms on AWS\nExperience working within UK Public Sector, Government, or regulated industries strongly preferred\nFamiliarity with Government Security Classifications, GDPR, and public sector governance frameworks\nDemonstrated experience supporting enterprise-scale analytics, reporting, and AI-enabled data ecosystems\nCertifications (Preferred)\nDatabricks Certified Data Engineer Professional or equivalent Databricks certification\nAWS Certified Solutions Architect - Associate or Professional\nAWS Data Analytics Specialty Certification\nTerraform Associate Certification\nRelevant cloud, security, or platform engineering certifications\nLocation\nLondon, United Kingdom (Hybrid - London / Remote)\nSecurity Clearance: SC Clearance required or eligibility to obtain 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