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Enterprise Data Platform Architect

Inteliblue LLCHarrisburg, PA🇺🇸United StatesPosted 11 Aug 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Enterprise Data Platform Architect
Hybrid - one day weekly (Tue, Wed or Thursday) in office- Hybrid Pennsylvania
  • Client is establishing a new Office to build enterprise data capabilities that will enable client to deliver improved digital services, data analytics and AI solutions.
  • This is a technical leadership position for the implementation and continual evolution of the client.
  • Working under the direction of the officer, this position designs, engineers, and delivers reusable cloud-based data products and shared services that enable to securely develop digital services.
  • The position establishes engineering practices, implementation standards, automation, and shared platform services that support enterprise modernization while enabling 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

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

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 with data co-mingling considerations
Partner with CISO teams to implement IAM, encryption and audit capabilities

Enterprise enablement
Design and build platform services instead of agency-specific implementations
Develop onboarding patterns for adopting enterprise products and services
Ensure alignment across modernization initiatives
Develop data products identified by Product team and AI-ready infrastructure

Leadership
Develop engineering best practices
Collaborate with tech leaders across enterprise
Partner with cloud, integration and data teams to implement enterprise data products.
Promote API-first and product-based approaches to information sharing.

Desired Background and Experience
  • 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

Soft skills important to this role
  • Effective communication of technology concept to non-tech audience
  • Can start from ground up
  • Think patterns and reusable capabilities
  • Worked at enterprise level for data platforms supporting multiple teams across the company
  • Lead through influence[SK1.1][NN1.2] not direct reports
Required/Desired Skills
  • Experience building large scale cloud data platforms
  • 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)
  • partner with Cloud Engineering, CISO and GRC teams to integrate security controls into the data platforms while maintaining clear ownership boundari
  • data Platform & Services experience including platforms Snowflake, Databricks, AWS, Azure, containerized applications

Interested candidate can send their resumes to

Skills

AWS
Encryption
Snowflake
Azure
Databricks
Onboarding
Terraform

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