Solutions Architect

Solutions Architect – Data Platform Applicants must be authorized to work in the United States without employer sponsorship. A rapidly growing, multi-site organization is seeking a hands-on Solutions Architect to help design and build its next-generation enterprise data platform. This is an opportunity to join an organization investing heavily in cloud technologies, modern data architecture, AI-assisted engineering, and enterprise analytics. This role is ideal for someone who enjoys balancing technical leadership with hands-on development and wants to make a significant impact by designing scalable data solutions that support a growing business. Position Overview As the Solutions Architect, you will own the end-to-end architecture of the enterprise data platform, connecting operational, financial, HR, and business systems into a scalable, secure, and high-performing environment. You'll work closely with business and technology leaders to establish architectural standards, mentor engineers, and build modern cloud-based solutions. Responsibilities Design and evolve the enterprise data platform, including data ingestion, storage, modeling, governance, and analytics. Architect scalable integration solutions using Azure Data Factory, REST APIs, Change Data Capture (CDC), and event-driven technologies. Develop and support cloud-native applications and services using Python, Go, Kubernetes, and modern engineering practices. Establish enterprise data standards, governance, quality metrics, and security best practices. Leverage AI-assisted development tools and automation to improve engineering productivity and software quality. Partner with executive leadership and technical teams to translate business objectives into scalable technology solutions. Lead architecture reviews, mentor engineering teams, and promote software engineering best practices. Design secure, reliable, and maintainable solutions capable of supporting continued organizational growth. Qualifications 8+ years of experience in data engineering, software engineering, platform architecture, or a related technical field. Strong expertise with SQL Server, T-SQL, SQL Server Analysis Services (SSAS), and Azure Data Factory. Experience designing enterprise data platforms and data warehouse solutions. Strong programming experience with Python, Go, or another modern backend language. Experience with Kubernetes, REST APIs, event-driven architectures, and Change Data Capture (CDC). Experience with modern analytical platforms such as ClickHouse, Snowflake, Databricks, or BigQuery. Knowledge of enterprise data governance, security, and access control best practices. Demonstrated ability to work with business stakeholders and translate complex business needs into scalable technical solutions. Passion for modern software engineering practices and AI-assisted development. Preferred Qualifications Experience supporting healthcare, multi-site retail, service organizations, or other distributed enterprise environments. Experience integrating enterprise operational systems or business-critical applications. Exposure to AI development tools, retrieval-augmented generation (RAG), LLM technologies, or AI-assisted software engineering.