Enterprise Data Platform Architect / Engineering Lead - 26-10303

Job Description

Job Description

Enterprise Data Platform Architect / Engineering Lead

Location: Harrisburg, PA — Hybrid (1 day onsite per week)
Duration: Contract

We are seeking an experienced Enterprise Data Platform Architect / Engineering Lead to provide technical leadership for the implementation and continuous evolution of enterprise data platforms.

This is a hands-on technical leadership role focused on designing, engineering, and delivering reusable, secure, cloud-based data products and shared platform services that enable multiple organizations to develop and deploy modern digital services, analytics, and AI solutions.

The successful candidate will balance enterprise technology strategy with practical execution , working closely with solution architects, data engineering teams, cloud engineering, cybersecurity, governance, and other technology stakeholders.

• Define and evolve target architecture for an enterprise data platform.
• Develop multi-year technical roadmaps aligned with enterprise modernization initiatives.
• Evaluate emerging technologies while maintaining architectural consistency and standards.
• Establish reusable architecture patterns and platform capabilities.

• Design, build, and continuously enhance a modern cloud-based data platform.
• Establish engineering standards, operational practices, and technical guardrails.
• Design secure multi-tenant environments supporting multiple organizations and data domains.
• Address data isolation, data-sharing, and data co-mingling considerations.
• Partner with cybersecurity teams to implement IAM, encryption, auditing, and other security controls.
• Develop infrastructure and platform services that can be consumed across multiple teams.

• Design and build reusable platform services rather than organization-specific solutions.
• Develop standardized onboarding patterns for teams adopting enterprise data products and services.
• Support enterprise modernization initiatives through standardized technology capabilities.
• Develop data products and infrastructure capable of supporting AI and advanced analytics workloads.
• Promote API-first and product-oriented approaches to enterprise information sharing.

• Establish and promote engineering best practices and development standards.
• Collaborate with technology leaders and engineering teams across the organization.
• Partner with cloud, integration, security, governance, and data engineering teams.
• Provide technical guidance and influence architecture decisions without direct managerial authority.
• Communicate complex technology concepts effectively to both technical and non-technical audiences.

• Bachelor's degree in Computer Science, Information Systems, Systems Programming, or a related field, or an equivalent combination of education and relevant experience.
• 10+ years of experience building and supporting large-scale cloud data platforms.
• 7+ years of hands-on experience in modern data architecture, platform engineering, and cloud infrastructure.
• Strong experience designing and implementing enterprise cloud data platforms.
• Demonstrated experience implementing cloud security controls, including:
  • IAM
  • RBAC
  • Encryption
  • Audit logging
  • Security governance
• Proven experience with Infrastructure as Code , including Terraform or an equivalent technology.
• Strong understanding of modern DevSecOps practices and shift-left security principles.
• Experience partnering with cloud engineering, cybersecurity, CISO, and governance/risk/compliance teams.
• Experience designing reusable platform capabilities for multiple teams or business units.
• Strong understanding of enterprise data architecture and cloud-native technologies.

Experience with one or more of the following technologies is highly desirable:

• Snowflake
• Databricks
• AWS
• Microsoft Azure
• Cloud data platforms
• Data engineering platforms
• Containerized applications
• Terraform / Infrastructure as Code
• DevSecOps
• IAM / RBAC
• Cloud security
• Data governance
• API-first architectures
• Enterprise data products
• AI-ready data infrastructure

• Experience building enterprise-scale data platforms supporting multiple teams or business units.
• Experience developing shared services and reusable technology patterns.
• Experience with multi-tenant cloud architectures.
• Experience supporting AI/ML and advanced analytics workloads.
• Experience with cloud-native data engineering and platform automation.
• Experience working within highly regulated or large enterprise environments.
• Experience establishing engineering standards and platform governance.