Data Platform Architect

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 Contract Rate: $60/hr W2 About the Role • As 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 Responsibilities • Platform Architecture & Design • Lead the end-to-end architecture and design of the Databricks Lakehouse platform on AWS • Define foundational architecture components including landing zones, medallion architecture (Bronze, Silver, Gold), storage architecture, and compute strategies • Establish scalable platform standards, frameworks, and engineering patterns to support enterprise-wide data initiatives • Design platform capabilities that support both batch and real-time streaming workloads • Define data access, consumption, and serving patterns that enable trusted and governed self-service analytics • Ensure platform architecture is aligned with enterprise data strategy and long-term modernization objectives AWS Infrastructure & Integration • Design and govern the AWS infrastructure supporting the Databricks platform, including networking, security, storage, and identity architecture • Define integration patterns with internal systems and AWS services including S3, Glue, Kinesis, EventBridge, and related data services • Establish infrastructure-as-code standards using Terraform or equivalent tooling • Collaborate with DevOps and Cloud Engineering teams to implement automated deployment and configuration management practices • Ensure platform scalability, resiliency, performance, and operational efficiency across environments Security, Governance & Compliance • Embed security-by-design principles into all platform architecture decisions • Lead the implementation and governance of Unity Catalog, including metastore design, workspace governance, and access control frameworks • Ensure compliance with public sector security requirements, GDPR, and applicable regulatory frameworks • Define platform-wide monitoring, observability, audit logging, and alerting capabilities • Collaborate with Cyber Security, Risk, and Data Governance teams to establish enterprise governance controls and operational guardrails Technical Leadership & Standards • Serve as the senior technical authority for the Databricks platform architecture • Establish engineering best practices covering Delta Lake design, workload orchestration, compute optimization, and cost management • Provide technical assurance across platform implementation activities delivered by internal teams and external partners • Define reusable architecture patterns, standards, and accelerators that improve consistency and delivery quality • Continuously evaluate emerging Databricks and AWS capabilities and recommend innovative platform enhancements Stakeholder Management & Advisory • Engage with senior client stakeholders, program leadership, and governance boards to communicate architecture decisions and technical strategy • Translate complex architecture concepts into clear and business-friendly communications • Facilitate architecture reviews, technical workshops, and design governance sessions • Build strong relationships across business, engineering, security, cloud, and operational teams • Support strategic planning and roadmap development for future platform evolution Skills & Experience Expertise • Strong experience designing and implementing enterprise-scale data platforms and modern Lakehouse architectures • Deep understanding of data modernization strategies, cloud-native data ecosystems, and enterprise analytics platforms • Experience delivering large-scale data transformation programs within public sector or regulated industries • Knowledge of enterprise data governance, security, and compliance principles Functional Skills • Proven ability to lead architecture design and technical decision-making across complex data programs • Strong expertise in architecture standards, governance frameworks, and solution assurance processes • Ability to define scalable operating models and platform governance structures • Excellent communication, stakeholder engagement, and consulting capabilities • Experience translating business requirements into strategic platform architecture solutions Technical Skills • Deep expertise in Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, Workflows, and cluster management • Strong experience designing cloud-native data platforms on AWS • Hands-on knowledge of AWS services including S3, IAM, VPC, Glue, Kinesis, EventBridge, and CloudWatch • Strong understanding of medallion architecture, large-scale data lake implementations, and data engineering patterns • Experience with Infrastructure-as-Code tools such as Terraform • Knowledge of DevOps, CI/CD, platform automation, and cloud-native operational practices • Familiarity with Apache Spark, dbt, and modern data integration technologies Delivery Experience • Experience leading architecture for enterprise-wide Databricks implementations and cloud data modernization initiatives • Proven success delivering scalable and secure data platforms in complex environments • Experience collaborating with cross-functional teams including cloud engineering, cybersecurity, operations, and governance functions • Experience supporting greenfield platform builds, legacy modernization programs, and large-scale migrations • Experience working within UK Public Sector, Government, or other highly regulated environments preferred Industry Experience • 10+ years of experience in Data Platform Architecture, Data Architecture, Cloud Architecture, or related disciplines • Proven experience delivering enterprise Databricks implementations and Lakehouse architecture solutions • Extensive experience designing cloud-native data platforms on AWS • Demonstrated experience supporting enterprise-scale analytics, reporting, and AI-enabled data ecosystems Certifications (Preferred) • Databricks Certified Data Engineer Professional or equivalent Databricks certification • AWS Certified Solutions Architect – Associate or Professional • AWS Data Analytics Specialty Certification • Terraform Associate Certification • Relevant cloud, security, or platform engineering certifications Droisys 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