Data Architect

🕒 April 25

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Anika Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏛️ Government

🤖 Artificial Intelligence

B2B • Government • Artificial Intelligence

Anika Systems is an outcome-driven technology solutions provider specializing in assisting Federal agencies in meeting their mission goals and preparing for the future. The company offers a range of services including Data and Analytics, Intelligent Automation, Application Development, IT Modernization, and Cloud Engineering. Anika Systems collaborates with Federal agencies to create long-term, innovative, and empowering solutions, focusing on delivering goals successfully on time and within budget. Their capabilities include data strategy, machine learning, cloud transformation, and more, leveraging partnerships with platforms like Microsoft Azure and Red Hat to enhance their offerings.

📋 Description

• Design and implement scalable enterprise data architectures leveraging AWS and Apache ecosystem technologies (e.g., Spark, Iceberg). • Architect modern AI-enabled data platforms, including support for machine learning, LLM integration, and retrieval-augmented generation (RAG) patterns. • Develop and maintain conceptual, logical, and physical data models, including Entity Relationship Diagrams (ERDs). • Architect modern data lakehouse and data warehouse solutions using Apache Iceberg and cloud-native services. • Define and enforce standards for data integration, data quality, and data lifecycle management. • Design and implement Knowledge Graph architectures, integrating structured and unstructured data sources. • Design and implement Knowledge Graphs and semantic data layers using ontologies, taxonomies, and linked data principles. • Apply GraphRAG architectures to enhance LLM-based applications with context-aware, explainable data retrieval. • Develop and manage ontologies and semantic models to enable interoperability, data discovery, and advanced analytics. • Integrate AI/ML and generative AI capabilities into enterprise data ecosystems, including vector databases and embedding pipelines. • Ensure alignment between data architecture and AI governance, including model transparency, traceability, and responsible AI practices. • Establish and manage enterprise metadata frameworks, including data dictionaries, business glossaries, and technical metadata repositories. • Lead or support stakeholder listening campaigns to gather input from executives, data leaders, and practitioners across the enterprise. • Collaborate with stakeholders to identify data challenges, AI use cases, and opportunities for advanced analytics and automation. • Support analysis of alternatives (AoA) for data and AI tools/platforms, providing recommendations based on cost, capability, and mission fit. • Track and report on data strategy progress, maturity improvements, and program outcomes.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field or comparable experience. • 8+ years of experience in data architecture, data engineering, or enterprise data management. • Demonstrated experience integrating AI/ML or generative AI capabilities into data platforms. • Hands-on experience with: AWS data services (e.g., S3, Glue, Redshift, Lake Formation) Apache technologies (e.g., Spark, Iceberg, Hive) Relational databases. • Strong expertise in data modeling and ERD development. • Experience designing or implementing Knowledge Graphs, ontologies, or semantic data models. • Familiarity with Graph-based retrieval approaches (e.g., GraphRAG or similar patterns). • Experience implementing metadata management, data cataloging, and data governance solutions. • Demonstrated experience supporting federal data strategy initiatives or OCDO organizations. • Strong understanding of data quality, lineage, observability, and AI data readiness frameworks. • Proficiency with AI-assisted tools and workflows (e.g., LLM copilots, automated code generation, data augmentation tools). • Ability to communicate complex technical concepts to non-technical stakeholders. • U.S. Citizenship required; ability to obtain and maintain a federal clearance.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities