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About the role
We are seeking a Senior Data Platform Architect to serve as a lead architect and guardian of our enterprise data infrastructure. This is a newly created, high-impact role aimed at bringing the architecture and management of our data platforms in-house, reporting directly to Clark’s Enterprise Data and Analytics lead.
What they're looking for
- Demonstrated experience in supporting the adoption of AI/ML or other emerging capabilities
- Expertise in Business Intelligence (BI) tools such as Tableau, Microsoft Power BI, or Looker
- Experience in a Project-Based Industry (i.e. Construction, Engineering, or Consulting) is a plus, but not required
- The work environment and requirements described below are representative of those necessary for an employee to successfully perform the essential functions of this role
- A Drug Free Workplace: Clark promotes a drug free workplace. A pre-employment drug “fitness for duty” screening is required, and the company conducts random quarterly drug “fitness for duty” tests
More about this role
We are seeking a Senior Data Platform Architect to serve as a lead architect and guardian of our enterprise data infrastructure. This is a newly created, high-impact role aimed at bringing the architecture and management of our data platforms in-house, reporting directly to Clark’s Enterprise Data and Analytics lead.
In this role, you will be a primary authority over our data ecosystems and platforms. You will move beyond simply "managing platforms" to architecting a Unified Data Foundation through a combination of leading platforms like Snowflake, Databricks, AWS, Microsoft OneLake, and Microsoft Fabric. This foundation serves as the central engine that harmonizes data from across our business (Financial data, IoT and construction processes) to power our next generation of AI and analytics needs for 5000+ users.
This is an onsite role in our McLean, VA office.
Key Responsibilities
Technical Leadership: Serve as the senior technical lead for the platform, establishing the standards for how the platform is architected, managed, data is moved, stored, and secured.
Foundational Data Modeling: Design the "Unified Core" of our data creating the logic and common connectors that allow...
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