Data Platform Architect (Ref: 18591)

Position: Data Platform Architect (Ref: 18591)

Location: Harrisburg, PA USA, 17101

Salary: DOE

Duration: 10 Months 19 Days - Contract

Openings: 1

Deadline: 08/13/2026

Description:

***Local Candidates

***Hybrid – onsite 1 day/week

We are seeking a Data Platform Architect to provide technical leadership in building and evolving enterprise data platforms. In this role, you will design, engineer, and deliver reusable, cloud-based data products and shared services that enable organizations to securely build digital services and analytics capabilities.

You will balance high-level technical strategy with practical hands-on execution—partnering with solution architects, delivery teams, and enterprise security/governance stakeholders to establish engineering standards, automation, and scalable multi-tenant platform services.

Key Responsibilities

• Enterprise Platform Architecture: Define the target architecture and multi-year execution roadmap for large-scale enterprise data platforms aligned with overall modernization goals. Evaluate emerging technologies while maintaining architectural consistency.

• Platform Engineering: Build Minimum Viable Products (MVPs) and continuously mature the cloud data platform over time. Set engineering standards, operational guardrails, and secure multi-tenant environments.

• Enterprise Enablement: Design and construct standardized platform services and onboarding patterns for adopting teams rather than one-off, specific implementations. Develop AI-ready infrastructure and reusable data products.

• Security & Governance Integration: Partner closely with CISO, Cloud Engineering, and GRC teams to integrate IAM, RBAC, encryption, and audit controls into the data platform while maintaining clear operational boundaries.

• Technical Leadership: Drive engineering best practices (API-first design, infrastructure as code, shift-left security) and collaborate across cross-functional teams to promote scalable, product-based data sharing.

Qualifications & Desired Experience

• Education: Bachelor’s degree in Computer Science, Information Systems, Systems Programming, or an equivalent combination of education and experience.

• Experience:

o 10+ years of total experience building large-scale cloud data platforms.

o 7+ years of hands-on experience in modern data architecture, platform engineering, and cloud infrastructure.

• Technical Proficiency:

o Hands-on experience with Infrastructure as Code (e.g., Terraform).

o Strong knowledge of modern DevSecOps practices and shift-left security principles.

o Deep experience with cloud and data platform ecosystems (such as Snowflake, Databricks, AWS, Azure, and containerized applications).

o Experience implementing robust enterprise security controls (IAM, RBAC, multi-tenancy, encryption).

• Core Competencies:

o Proven ability to start ground-up platform initiatives and design reusable capabilities.

o Strong background in leading through influence across matrixed enterprise teams.

o Excellent communication skills with the ability to translate complex technology concepts for non-technical stakeholders.

Interview & Work Logistics

• Work Model: Hybrid (1 day per week in-office on Tuesday, Wednesday, or Thursday in Harrisburg, PA).

• Schedule: Full-Time (40 hours/week, Mon–Fri)

• Interview Process:

1. Initial Screening with the Hiring Manager (Virtual)

2. Technical Interview Panel (Virtual)

3. Final Interview (In-Person in Harrisburg, PA)

Required / Desired Skills

• Partner with Cloud Engineering, CISO and GRC teams to integrate security controls into the data platforms while maintaining clear ownership boundaries Required - 3 Years

• Proven experience building and operating cloud infrastructure as Code (Terraform or equivalent) Required - 3 Years

• Experience in designing and implementing enterprise security controls for cloud data platforms, including IAM, RBAC etc. Required - 5 Years

• Hands-on experience in modern data architecture, platform engineering, cloud infrastructure Required - 7 Years

• Experience building large scale cloud data platforms Required - 10 Years

• Data Platform & Services experience including platforms Snowflake, Databricks, AWS, Azure, containerized applications Required - 3 Years