Anika Systems

Data Architect

Anika Systems  •  United States (Remote)  •  1 hour ago
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Job Description

Anika Systems is seeking an experienced Data Architect to lead the design and implementation of enterprise data and AI platforms supporting federal clients. This role combines data architecture, cloud engineering, and AI innovation to enable data-driven decision-making and intelligent automation. This position is 100% remote.

Candidates must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.

Key Responsibilities

  • Design scalable enterprise data architectures, data lakes, warehouses, and analytics platforms on AWS.
  • Develop logical, physical, and dimensional data models and establish data governance, quality, security, and metadata standards.
  • Build and optimize data pipelines, ETL/ELT processes, APIs, and serverless solutions using AWS, Python, and SQL.
  • Design and implement AI-enabled solutions, including RAG, LLM integrations, AI agents, and MCP-based architectures.
  • Develop AI evaluation (Evals) frameworks to measure model accuracy, retrieval quality, safety, and business impact.
  • Collaborate with stakeholders to translate business needs into scalable technical solutions.
  • Provide architectural leadership, technology recommendations, and technical oversight across Agile teams.

Required Qualifications

  • Bachelor’s degree in a related field or equivalent experience.
  • 8+ years of experience in data architecture, data engineering, or enterprise data management.
  • Expertise in data modeling, data integration, metadata management, governance, and AWS-based data platforms.
  • Strong hands-on experience with Python, SQL, APIs, and serverless architectures.
  • Experience implementing LLMs, RAG solutions, AI agents, MCP integrations, and AI evaluation methodologies.
  • Knowledge of vector databases, embeddings, semantic search, and enterprise knowledge retrieval.
  • Strong communication and stakeholder engagement skills.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.

Preferred Qualifications

  • Experience supporting federal agencies.
  • Experience with vector databases (e.g. pgvector).
  • AWS certifications in Data Engineering, Solutions Architecture, Machine Learning, or Generative AI.
  • Experience with Agile, DevSecOps, and CI/CD practices.
Anika Systems

About Anika Systems

Anika Systems: Delivering Innovation Through Action, Not Just Ideas

Government missions are evolving, and traditional approaches no longer meet the demands of speed, scale, and impact. At Anika Systems, we guide agencies to lead through change—reimagining operations, accelerating automation, and unlocking the full potential of emerging technologies.

We deliver mission-focused, outcome-driven solutions in AI Strategy and Digital Transformation, Data Intelligence and Governance, AI and Machine Learning, Intelligent Automation, and Enterprise Platforms and Engineering.

Our people are proven experts—strategic, hands-on, and deeply experienced in federal environments. We invest in their growth through advanced partnerships with leading technology vendors, ensuring they are trained and certified. Through continuous experimentation in our internal R&D labs, we validate what works and bring forward solutions that are tested, scalable, and ready to deliver real outcomes for government missions.

Our Philosophy: Show, Don’t Tell

The playwright Anton Chekhov said of telling versus showing: “Don’t tell me the moon is shining; show me the glint of light on broken glass.” Likewise, Anika Systems champions a Show Me, Not Tell Me approach in everything we do. This principle is embedded in our corporate DNA and exemplified in how we deliver results. Instead of telling with traditional slide decks, we’re showing with Minimum Viable Products (MVPs) to rapidly demonstrate tangible value to our federal partners.

MVPs come to life in our multi-cloud Virtual Innovation Transformation Acceleration Lab (VITAL), where we synthesize ideas into business concepts (intake), select ideas (assess, evaluate, decide) and implement selected ideas using appropriate technologies (fulfillment). We specialize in building Agency-wide Centers of Excellence for Data and Analytics, Intelligent Automation, and Cloud Management.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
Leesburg, Virginia
Year Founded
2005
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