Data Platform Architect
3B Staffing LLC
Job Description
Title: Data Platform Architect
Location: Harrirburg, PA
Onsite final interview Location: Harrisburg, PA (Onsite once a week - Tue, Wed or Thursday)
Interview type: Screening with hiring manager, virtual interview with 2 more people, final in-person at Harrisburg, PA Job 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 Client 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
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 agencies 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 agencies 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 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. 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
Title: Data Platform Architect
Location: Harrirburg, PA
Onsite final interview Location: Harrisburg, PA (Onsite once a week - Tue, Wed or Thursday)
Interview type: Screening with hiring manager, virtual interview with 2 more people, final in-person at Harrisburg, PA Job 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 Client 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
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 agencies 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 agencies 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 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. 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
Vacancy posted more than 2 months ago
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