Ready to architect the technology backbone behind a fast-growing organizationin Birmingham? Our client is seeking a Data Platform Architect to design and lead a modern enterprise data platform that powers critical business decisions across hundreds of locations. This is a unique opportunity to blend architecture, hands-on development, AI innovation, and executive collaboration while building systems at a significant scale.
C2C is not an option with this job opening and all applicants should be able work for any US Employer without sponsorship. Sponsorship is not provided and this person will not need to require sponsorship in the future.
Benefits & Extras
- Opportunity to architect enterprise-wide data and integration platforms
- Highly visible role partnering directly with executive leadership
- Hands-on influence over AI-driven engineering initiatives and automation
- Fast-growing organization with large-scale technical challenges
- Hybrid work environment in Birmingham, AL
- Annual bonus opportunity
- Collaborative team focused on innovation and modern technologies
Compensation
- $115,000 - $140,000 base salary + bonus eligible
What You'll Be Doing
- Define and lead the target-state architecture for enterprise data platforms
- Design data ingestion, storage, modeling, governance, and serving solutions
- Build and support event-driven systems utilizing APIs, CDC, messaging platforms, and Kubernetes
- Drive AI-assisted engineering and development automation initiatives
- Establish data quality standards, governance, and security controls
- Lead architecture reviews and mentor engineering teams
- Translate business objectives into scalable technical roadmaps
What You'll Need to be Considered
- Strong expertise with SQL Server, SSAS, Azure Data Factory, and T-SQL
- Experience with ClickHouse, Snowflake, BigQuery, Databricks, or similar columnar platforms
- Production-level development experience in Python and/or Go
- Experience designing event-driven architectures utilizing REST, Kafka, NATS, or CDC
- Experience operating workloads within Kubernetes environments
- Ability to drive AI-assisted engineering initiatives and platform strategy
