Data Architect

Science of Skincare, LLC
Trenton, NJ, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$150,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Computing Platforms Microsoft Azure Cloud Computing Cloud Engineering Cyber Security Information Systems Data Architecture Data Infrastructure Identity and Access Management Role-Based Access Control
+12 more
Cloud Services System Programming Enterprise Data Management Snowflake Build Management Containerization Information Technology Data Management Api Design Terraform Devsecops Databricks

Job description

  1. 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

  1. 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

  1. 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

  1. 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., partner with Cloud Engineering, CISO and GRC teams to integrate security controls into the data platforms while maintaining clear ownership boundari Required data Platform & Services experience including platforms Snowflake, Databricks, AWS, Azure, containerized applications Required

Requirements

  • 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

o Effective communication of technology concept to non-tech audience o Can start from ground up o Think patterns and reusable capabilities o Worked at enterprise level for data platforms supporting multiple teams across the company o Lead through influence[SK1.1][NN1.2] not direct reports Skill Required / Desired experience building large scale cloud data platforms Required hands-on experience in modern data architecture, platform engineering, cloud infrastructure Required experience designing and implementing enterprise security controls for cloud data platforms, including IAM, RBAC etc Required proven experience building and operating cloud infrastructure as Code (Terraform or equivalent)

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Apply on www.careerjet.com
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