Data Platform Architect (Databricks & AWS)

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.Job Title Data Platform Architect or Lead – Databricks (AWS)Job Location Plano, TX [Hybrid Work]Duration 12 Months ContractAbout the RoleAs 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.Working 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.Key ResponsibilitiesPlatform Architecture & DesignLead the end-to-end architecture and design of the Databricks Lakehouse platform on AWSDefine foundational architecture components including landing zones, medallion architecture (Bronze, Silver, Gold), storage architecture, and compute strategiesEstablish scalable platform standards, frameworks, and engineering patterns to support enterprise-wide data initiativesDesign platform capabilities that support both batch and real-time streaming workloadsDefine data access, consumption, and serving patterns that enable trusted and governed self-service analyticsEnsure platform architecture is aligned with enterprise data strategy and long-term modernization objectivesAWS Infrastructure & IntegrationDesign and govern the AWS infrastructure supporting the Databricks platform, including networking, security, storage, and identity architectureDefine integration patterns with internal systems and AWS services including S3, Glue, Kinesis, EventBridge, and related data servicesEstablish infrastructure-as-code standards using Terraform or equivalent toolingCollaborate with DevOps and Cloud Engineering teams to implement automated deployment and configuration management practicesEnsure platform scalability, resiliency, performance, and operational efficiency across environmentsSecurity, Governance & ComplianceEmbed security-by-design principles into all platform architecture decisionsLead the implementation and governance of Unity Catalog, including metastore design, workspace governance, and access control frameworksEnsure compliance with public sector security requirements, GDPR, and applicable regulatory frameworksDefine platform-wide monitoring, observability, audit logging, and alerting capabilitiesCollaborate with Cyber Security, Risk, and Data Governance teams to establish enterprise governance controls and operational guardrailsTechnical Leadership & StandardsServe as the senior technical authority for the Databricks platform architectureEstablish engineering best practices covering Delta Lake design, workload orchestration, compute optimization, and cost managementProvide technical assurance across platform implementation activities delivered by internal teams and external partnersDefine reusable architecture patterns, standards, and accelerators that improve consistency and delivery qualityContinuously evaluate emerging Databricks and AWS capabilities and recommend innovative platform enhancementsStakeholder Management & AdvisoryEngage with senior client stakeholders, program leadership, and governance boards to communicate architecture decisions and technical strategyTranslate complex architecture concepts into clear and business-friendly communicationsFacilitate architecture reviews, technical workshops, and design governance sessionsBuild strong relationships across business, engineering, security, cloud, and operational teamsSupport strategic planning and roadmap development for future platform evolutionSkills & ExperienceExpertiseStrong experience designing and implementing enterprise-scale data platforms and modern Lakehouse architecturesDeep understanding of data modernization strategies, cloud-native data ecosystems, and enterprise analytics platformsExperience delivering large-scale data transformation programs within public sector or regulated industriesKnowledge of enterprise data governance, security, and compliance principlesFunctional SkillsProven ability to lead architecture design and technical decision-making across complex data programsStrong expertise in architecture standards, governance frameworks, and solution assurance processesAbility to define scalable operating models and platform governance structuresExcellent communication, stakeholder engagement, and consulting capabilitiesExperience translating business requirements into strategic platform architecture solutionsTechnical SkillsDeep expertise in Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, Workflows, and cluster managementStrong experience designing cloud-native data platforms on AWSHands-on knowledge of AWS services including S3, IAM, VPC, Glue, Kinesis, EventBridge, and CloudWatchStrong understanding of medallion architecture, large-scale data lake implementations, and data engineering patternsExperience with Infrastructure-as-Code tools such as TerraformKnowledge of DevOps, CI/CD, platform automation, and cloud-native operational practicesFamiliarity with Apache Spark, dbt, and modern data integration technologiesDelivery ExperienceExperience leading architecture for enterprise-wide Databricks implementations and cloud data modernization initiativesProven success delivering scalable and secure data platforms in complex environmentsExperience collaborating with cross-functional teams including cloud engineering, cybersecurity, operations, and governance functionsExperience supporting greenfield platform builds, legacy modernization programs, and large-scale migrationsExperience working within UK Public Sector, Government, or other highly regulated environments preferredIndustry Experience10+ years of experience in Data Platform Architecture, Data Architecture, Cloud Architecture, or related disciplinesProven experience delivering enterprise Databricks implementations and Lakehouse architecture solutionsExtensive experience designing cloud-native data platforms on AWSDemonstrated experience supporting enterprise-scale analytics, reporting, and AI-enabled data ecosystemsCertifications (Preferred)Databricks Certified Data Engineer Professional or equivalent Databricks certificationAWS Certified Solutions Architect – Associate or ProfessionalAWS Data Analytics Specialty CertificationTerraform Associate CertificationRelevant cloud, security, or platform engineering certificationsDroisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment