Data Architect - Revenue Data Platform

TekWissen LLC

Dallas, TX

JOB DETAILS
SALARY
$57.91–$64.42
LOCATION
Dallas, TX
POSTED
6 days ago
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Data Architect - Revenue Data Platform
Location: Dallas, TX (preferable) or Seattle, WA
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description
  • We are looking for someone who can architect a scalable revenue data platform to support enterprise-wide data needs and deliver actionable insights across Client business units.
  • Our current tech stack includes Azure, Snowflake, Databricks, Claude, and GitLab, with AWS also available.
  • Furthermore, having knowledge of finance domain and platforms like SAP and Oracle is an added advantage.
  • The ideal candidate will bring a forward-thinking approach able to translate vision into architecture and design, develop proof of concepts, incorporate cost considerations, and deliver incremental value aligned to specific business units.
  • This is a critical role that requires strong ownership, a bias for action, and the ability to balance strategic thinking with hands-on collaboration at the engineering level.
Role Overview
  • 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.
Key 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
Required Qualifications
  • 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 Qualifications
  • 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
TekWissen Group is an equal opportunity employer supporting workforce diversity.

About the Company

T

TekWissen LLC

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



COMPANY SIZE
100 to 499 employees
INDUSTRY
Computer/IT Services
FOUNDED
2009
WEBSITE
http://www.tekwissen.com/