Data Architect

American IT SystemsDallas, TX
Onsite

About The Position

We are seeking a highly skilled Data Architect to lead the design and evolution of our Revenue Data Platform (RDMP). This role will be instrumental in architecting a scalable, enterprise-grade data platform that enables unified data access and delivers actionable insights across Client business units. The ideal candidate will bring a forward-looking mindset, translating strategic vision into practical architecture, while driving innovation, cost efficiency, and measurable business outcomes.

Requirements

  • Proven experience as a Data Architect designing and implementing large-scale data platforms
  • Strong expertise in cloud data ecosystems (Azure preferred; AWS experience is a plus)
  • Hands-on experience with Snowflake, Databricks, and modern data engineering practices
  • Experience working with CI/CD tools such as GitLab
  • Ability to bridge strategic architecture and hands-on engineering execution
  • Strong understanding of data modeling, data governance, and data platform scalability

Nice To Haves

  • Experience in Finance/Revenue domains
  • Familiarity with enterprise platforms such as SAP and Oracle
  • Exposure to AI/LLM tools (e.g., Claude) and their integration into data platforms

Responsibilities

  • Define and architect a scalable, enterprise-wide Revenue Data Platform to support diverse business needs
  • Translate business vision into robust data architecture, design patterns, and implementation roadmap
  • Develop proof of concepts (POCs) to validate architectural decisions and accelerate adoption
  • Design solutions leveraging modern data platforms including Azure, Snowflake, Databricks, and AWS
  • Collaborate closely with engineering teams to ensure hands-on alignment and execution
  • Incorporate cost optimization strategies into architecture and platform design
  • Deliver incremental value aligned to specific business units through phased implementation
  • Ensure data solutions enable high-quality, secure, and governed data access across the enterprise
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service