Data Platform Architect

JPS Tech Solutions Pvt Ltd; Harrisburg (Dauphin County); On-site; USD 150,000 - 230,000; Full time

Job summary

JPS Tech Solutions Pvt Ltd is seeking an experienced Data Platform Architect to lead design, engineering, and evolution of enterprise-scale cloud data platforms. The role combines strategic architecture with hands-on execution to build secure, scalable data capabilities that support analytics, digital services, and AI initiatives across multiple teams and business areas.

The candidate will define standards, roadmaps, and guardrails, while enabling secure multi-tenant architectures and modern

Qualifications

• 10+ years of experience designing and supporting large-scale cloud data platforms.
• 7+ years hands-on experience in modern data architecture and cloud infrastructure.
• Experience building platforms for multiple teams or business units.
• Hands-on experience with Snowflake, Databricks, AWS, and Azure.
• Knowledge of IAM, RBAC, encryption, auditing, and other security controls.
• Proven Terraform or IaC experience.
• Strong DevSecOps, CI/CD, and automation mindset.

Responsibilities

• Define enterprise data platform architecture, standards, and modernization roadmaps.
• Design and build scalable cloud-based data platforms and reusable services.
• Develop secure multi-tenant platform architectures for multiple teams.
• Establish engineering standards, automation, and platform guardrails.
• Design and implement IAM, RBAC, encryption, auditing, and security controls.
• Partner with security, governance, and data teams to embed security across the lifecycle.
• Build reusable platform services and onboarding patterns.

Skills

Cloud architecture

Data platform design

Terraform

DevSecOps

CI/CD

Security controls

IAM RBAC

Multi-tenant architecture

API-first

Containerization

Education

Bachelor's degree in CS/IS

Tools

Terraform

Job description

JOB SUMMARY

We are seeking an experienced Data Platform Architect to lead the design, engineering, and evolution of enterprise-scale cloud data platforms. The ideal candidate will combine strategic architecture with hands‑on technical execution to build secure, scalable, reusable data capabilities that support analytics, digital services, and AI initiatives across multiple teams and business areas.

KEY RESPONSIBILITIES

• Define enterprise data platform architecture, technical standards, and long-term modernization roadmaps.
• Design and build scalable cloud-based data platforms and reusable shared services.
• Develop secure multi-tenant platform architectures supporting multiple teams and data environments.
• Establish engineering standards, automation practices, operational controls, and platform guardrails.
• Design and implement IAM, RBAC, encryption, auditing, and other enterprise security controls.
• Partner with security, cloud engineering, governance, and data teams to embed security throughout the platform lifecycle.
• Build reusable platform services and onboarding patterns instead of isolated team‑specific solutions.
• Develop infrastructure using Terraform or equivalent Infrastructure as Code technologies.
• Implement modern DevSecOps and shift-left security practices across data platform engineering.
• Design and enable modern data products and infrastructure supporting analytics and AI workloads.
• Promote API‑first, reusable, and product‑oriented approaches to enterprise data sharing.
• Evaluate emerging cloud and data technologies while maintaining architectural consistency and governance.
• Partner with solution architects, engineering teams, and technical leadership to deliver enterprise data capabilities.
• Establish best practices for platform development, deployment, reliability, security, and operational support.
• Provide technical leadership through influence, mentoring, architecture guidance, and cross‑functional collaboration.

REQUIRED QUALIFICATIONS

• 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 enterprise data platforms supporting multiple teams or business units.
• Hands‑on experience with cloud data technologies such as Snowflake, Databricks, AWS, and Azure.
• Strong understanding of enterprise cloud architecture, data platforms, and shared services.
• Experience implementing IAM, RBAC, encryption, auditing, and other cloud security controls.
• Proven experience with Terraform or equivalent Infrastructure as Code tools.
• Strong knowledge of DevSecOps, CI/CD, automation, and shift-left security practices.
• Experience working with cloud security, CISO, GRC, governance, and engineering teams.
• Ability to design secure, scalable, reusable, and highly available platform capabilities.
• Strong understanding of containerized applications and modern cloud-native architectures.
• Bachelor’s degree in Computer Science, Information Systems, Systems Programming, or a related field, or equivalent combination of education and experience.

TECHNICAL SKILLS

• Cloud Platforms: AWS, Azure
• Data Platforms: Snowflake, Databricks
• Infrastructure as Code: Terraform
• Security: IAM, RBAC, Encryption, Auditing
• Engineering: DevSecOps, CI/CD, Automation
• Architecture: Enterprise Data Platforms, Multi‑Tenant Architecture, Cloud Infrastructure
• Modernization: API-First Architecture, Data Products, AI-Ready Infrastructure
• Cloud Native: Containers and Containerized Applications

PREFERRED QUALIFICATIONS

• Experience building enterprise platforms from the ground up.
• Experience creating reusable technology patterns and shared platform capabilities.
• Experience supporting data platforms used by multiple teams or organizations.
• Strong ability to explain complex technical concepts to non‑technical stakeholders.
• Ability to lead through influence and cross‑functional collaboration rather than direct authority.
• Strong strategic thinking combined with hands‑on architecture and engineering capabilities.