Sign upLog in

Data Architect

Axelon

Richardson, TX

Apply
JOB DETAILS
SALARY
$57 Per Hour
SKILLS
Amazon Web Services (AWS), Architectural Design, Architectural Services, Artificial Intelligence (AI), Business Support, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Data Modeling, DataArchitect Data Modeling Tool, Design Patterns Programming Methodologies, Ecosystems, Enterprise Architecture, Finance, Information/Data Security (InfoSec), Microsoft Windows Azure, Oracle, Proof of Concept, SAP, Snowflake Schema, Strategic Planning
LOCATION
Richardson, TX
POSTED
7 days ago

Summary:

  • Location: Frisco, TX
  • Work Mode: Onsite

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.

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.

Preferred Skills:

  • 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.

About the Company

A

Axelon