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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Morph Enterprise - **Location:** Harrisburg, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Computing, Cloud Engineering, Information Systems, Data Architecture, Data Infrastructure, Identity and Access Management, Role-Based Access Control, Cloud Services, System Programming, Enterprise Data Management, Snowflake, Build Management, Containerization, Information Technology, Data Analytics, Data Management, Api Design, Terraform, Devsecops, Databricks - **Published:** August 9, 2026 - **Apply:** https://www.dice.com/job-detail/107e89a9-77da-4620-a288-f721f128aa9a ## About the Role · Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience · 10+ years of experience building large scale cloud data platforms · At least 7 years of hands-on experience in modern data architecture, platform engineering, cloud infrastructure · Experience designing and implementing enterprise security controls for cloud data platforms, including IAM, RBAC etc. · Proven experience building and operating cloud infrastructure as Code (Terraform or equivalent) · Hands-on experience implementing modern DevSecOps practices and champion shift-left approach to security · Partner with Cloud Engineering, CISO and GRC teams to integrate security controls into the data platforms while maintaining clear ownership boundaries. · Data Platform & Services experience including platforms Snowflake, Databricks, AWS, Azure, containerized applications · Think patterns and reusable capabilities · Worked at enterprise level for data platforms supporting multiple teams across the company ## Description Client is establishing a new Office to build enterprise data capabilities that will enable every agency to deliver improved digital services, data analytics and AI solutions. This is a technical leadership position for the implementation and continual evolution of the enterprise data platforms. Working under the direction of the Chief Data and AI Officer, this position designs, engineers, and delivers reusable cloud-based data products and shared services that enable agencies to securely develop digital services. The position establishes engineering practices, implementation standards, automation, and shared platform services that support enterprise modernization while enabling agencies to consume standardized capabilities rather than developing agency-specific solutions. This role will balance tech strategy with practical execution, partner with solution architects, data teams in delivery centers and enterprise tech teams such as security, governance. Key Responsibilities 1. Enterprise Platform Architecture * Define target architecture for an enterprise data platform * Multi-year roadmap aligned to enterprise modernization initiatives * Evaluate emerging tech while maintaining architectural consistency 2. Platform Engineering * Build MVP and mature cloud data platform over time * Set engineering standards and operational guardrails * Design secure multi-tenant environments capable of serving multiple agencies with data co-mingling considerations * Partner with CISO teams to implement IAM, encryption and audit capabilities 3. Enterprise enablement * Design and build platform services instead of agency-specific implementations * Develop onboarding patterns for agencies adopting enterprise products and services * Ensure alignment across modernization initiatives * Develop data products identified by Product team and AI-ready infrastructure 4. Leadership * Develop engineering best practices * Collaborate with tech leaders across agencies and enterprise * Partner with cloud, integration and data teams to implement enterprise data products. * Promote API-first and product-based approaches to information sharing. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)