SolutionsArchitect

## Accountabilities In this role, you will lead the technical vision and architecture across enterprise programs while ensuring scalable, secure, and modern platform delivery, including: Serving as the lead technical authority across large-scale initiatives from proposal through delivery and operations Designing enterprise data and integration architectures, including Lakehouse, data mesh, and medallion frameworks Defining multi-cloud strategies and hybrid integration approaches across AWS, Azure, and GCP environments Architecting API-led and event-driven systems to unify complex enterprise application ecosystems Establishing DevSecOps, CI/CD, and infrastructure-as-code practices to ensure reliable and automated delivery pipelines Designing operational models including SLAs, observability, data quality, and production support frameworks Developing reusable frameworks, accelerators, and reference architectures to improve delivery efficiency Leading Proof of Concept development and technical demonstrations for client and federal engagements Integrating AI/ML and GenAI capabilities into enterprise solutions to enable innovation and automation Producing high-quality architecture documentation, diagrams, and technical standards Mentoring engineers and contributing to organizational capability growth and technical leadership Requirements: This role requires deep experience in enterprise architecture, cloud platforms, and data engineering, combined with strong leadership and communication skills: 10+ years of experience in software engineering, data engineering, or enterprise architecture roles Strong expertise in distributed systems, integration patterns, and large-scale enterprise platforms Hands-on experience with modern data platforms such as Databricks or equivalent Lakehouse technologies Strong knowledge of ETL/ELT pipelines, streaming architectures, and data orchestration tools (e.g., Airflow, DBT) Experience with API development (REST, SOAP, GraphQL) and event-driv