Data Architect

Electrosoft Services, LLC is an award-winning company that provides comprehensive technology-based solutions and services to federal customers. While cybersecurity is our specialty, we also focus on ICAM, Zero Trust, digital engineering and transformation, and enterprise AI and intelligent automation. We always seek to delight our customers, so we retain highly qualified employees and offer them meaningful work, growth opportunities, and work-life balance.

What sets us apart from all other contractors is the sense of  teamwork  our employees feel – and the knowledge that outstanding effort is recognized and rewarded.  The camaraderie we share emanates from Lunch & Learn sessions where we explore new ideas together, fun group activities ranging from escape rooms to miniature golf, and much, much more. If we’ve described you and your dream workplace, please apply and share in the many benefits and opportunities we offer.

Data Architect - Senior The Data Architect – Senior Consultant serves as the senior technical authority responsible for the design, governance, implementation, and modernization of enterprise data architectures supporting AI-enabled data management, analytics, and Data-as-a-Service (DaaS) capabilities for the customer. This individual leads the development of scalable, secure, cloud-native data architectures and integration frameworks that enable advanced analytics, artificial intelligence, machine learning, and enterprise decision-making across mission environments.

The Data Architect works closely with program leadership, federal stakeholders, data engineers, architects, developers, and analytics teams to ensure enterprise data assets are governed, integrated, optimized, and aligned with customer modernization objectives. Responsibilities and Duties Serve as the lead architect for enterprise data strategy, architecture, governance, and implementation activities supporting AI-enabled data management initiatives.

Design and maintain conceptual, logical, and physical data models that support enterprise analytics, Data-as-a-Service capabilities, AI workloads, and mission operations. Define enterprise data architecture standards, patterns, frameworks, and best practices. Lead development of AI-ready data architectures, including unified schemas, governed data models, metadata frameworks, and semantic information structures.

Design, implement, and optimize cloud-native data platforms supporting large-scale structured, semi-structured, and unstructured data environments. Architect and oversee Databricks Lakehouse environments utilizing Delta Lake, Unity Catalog, ETL/ELT pipelines, Structured Streaming, and enterprise data workflows. Develop enterprise integration patterns supporting API-based data exchange, microservices integration, event-driven architectures, and streaming ingestion.

Design and implement scalable data pipelines supporting analytics, machine learning, reporting, and operational data services. Establish enterprise data governance practices, including data stewardship, lineage management, metadata standards, data quality controls, and lifecycle management. Develop ontology frameworks, taxonomy structures, semantic models, and metadata strategies to improve discoverability, interoperability, and data sharing.

Provide architectural leadership for cloud-native implementations utilizing AWS services and modern data engineering technologies. Design secure and compliant data environments aligned with Zero Trust, privacy, and cybersecurity requirements. Support modernization and migration of legacy data systems to scalable cloud architectures. Develop architecture artifacts including data models, architecture diagrams, governance documentation, reference architectures, and implementation roadmaps.

Collaborate with data engineers, software developers, AI/ML engineers, and business stakeholders to ensure alignment between mission requirements and technical solutions. Conduct archi