Data Architect

Kastech Software Solutions Group; Dallas (TX); Hybrid; USD 150,000 - 200,000; Full time

Job summary

Kastech Software Solutions Group in Dallas, TX (Hybrid) is hiring an experienced Data Architect to design and build an enterprise Revenue Data Platform that delivers trusted insights across business units.

You will work with Azure, Snowflake, Databricks, AWS, and modern data architecture to translate business visions into scalable data solutions, drive POCs, and collaborate with engineering to deliver measurable business value.

Qualifications

• Experience in Data Architecture and Enterprise Data Platforms.
• Experience with Snowflake and Databricks.
• Proven ability to deliver POCs and design solutions.
• Exposure to AI/LLM (Claude) is a nice-to-have.
• Finance/Revenue domain experience is preferred.

Responsibilities

• Architect and evolve an enterprise-wide Revenue Data Platform.
• Design scalable, secure, and governed data solutions.
• Translate business vision into technical architecture and implementation roadmaps.
• Build POCs and drive adoption of modern data platforms.
• Collaborate closely with engineering teams to deliver business value.
• Ensure cost-efficient, scalable, and high-performing data solutions.

Skills

Data architecture

Snowflake

Databricks

POC design

AI/LLM exposure

Finance/revenue domain

Tools

Azure

AWS

Job description

Location

Dallas, TX or Seattle, WA (Hybrid)

We're hiring an experienced Data Architect to design and build a scalable enterprise Revenue Data Platform that delivers trusted, actionable insights across business units. If you have expertise in Azure, Snowflake, Databricks, AWS, and modern data architecture, we'd love to connect!

Key Skills

• Data Architecture & Enterprise Data Platforms
• Snowflake & Databricks
• Proof of Concepts (POCs) & Solution Design
• AI/LLM Exposure (Claude) – Nice to Have
• Finance/Revenue Domain Experience – Preferred

What You'll Do

• Architect and evolve an enterprise-wide Revenue Data Platform.
• Design scalable, secure, and governed data solutions.
• Translate business vision into technical architecture and implementation roadmaps.
• Build POCs and drive adoption of modern data platforms.
• Collaborate closely with engineering teams to deliver business value.
• Ensure cost-efficient, scalable, and high-performing data solutions.