Solutions Architect

Key Responsibilities

• Own the target-state architecture for the data platform across ingestion, storage, modeling, serving, and governance.
• Set the technical direction for the analytical ecosystem, including SQL Server, SQL Server Analysis Services (SSAS), and ClickHouse.
• Define and evolve the integration architecture across Azure Data Factory, REST APIs, NATS, and change data capture (CDC).
• Design, build, and operate event-driven, service-oriented workloads using Go and Python on Kubernetes.
• Make AI-assisted development a core team capability by building and adopting agentic tools, including code-aware agents and retrieval systems grounded in internal schemas, metadata, and data lineage.
• Use AI tooling to improve engineering velocity, testing, documentation, and automation while establishing responsible-use practices appropriate for a regulated environment.
• Establish the data contracts, schema standards, and data-quality service-level agreements (SLAs) used across engineering and analytics teams.
• Embed appropriate PII and PHI protections, role-based access controls, auditing, and traceability throughout the platform.
• Mentor engineers, lead architecture and design reviews, and establish strong engineering standards.
• Translate executive priorities and ambiguous business needs into clear technical strategies and actionable delivery roadmaps.

Required Experience

• Eight or more years of experience across data engineering, software engineering, platform engineering, or architecture.
• Deep, hands-on expertise with T-SQL, SQL Server at scale, SQL Server Analysis Services, and Azure Data Factory.
• Production experience with ClickHouse or a comparable columnar data platform, such as Snowflake, BigQuery, or Databricks.
• Strong, production-level programming skills in Python, Go, or a comparable backend language, with a willingness to contribute directly to the codebase—not solely produce architectural designs.
• Experience designing event-driven and distributed systems using technologies such as REST APIs, NATS, Kafka, and CDC.
• Experience deploying and operating production workloads on Kubernetes.
• Demonstrated fluency with AI-assisted software engineering, including coding agents, LLM tooling, retrieval-augmented generation, and evaluations.
• A clear perspective on how to implement AI responsibly within a regulated, multi-site organization.
• A proven record of partnering with executives and converting complex or ambiguous business needs into scalable, durable technical solutions.
• Must reside in, or be willing to relocate to, Birmingham, Alabama, and work onsite.

Nice to Have

• Experience in veterinary medicine, healthcare, or multi-site retail or service organizations.
• Experience working with Practice Information Management Systems (PIMS) or similar industry-specific operational platforms.