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Data Architect

Anika Systems

Role overview

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

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

Key facts

Hard skills

Other skills

  • Communication

About the company

Anika Systems logo

Anika Systems

  • GovTech
  • SME
  • 51–200
The pace at which the government is changing, there is a need for technology consulting companies that rise to those challenges by taking a fresh approach to problems, solutions that get to market faster, offer service that exceed the customers’ expectations and disrupt the status quo. Anika Systems is an outcome-driven technology consulting firm that helps federal agencies solve business problems and enable them for the future, with services and solutions spanning Data and Analytics, Intelligent Automation, IT Modernization, Application Development and Cloud Engineering. We’re a team of thinkers, lifelong learners, makers, and doers that deeply understand the Federal government customers missions and goals. Our teams are deeply connected and bring their shared experiences and insights to each and every engagement. Philosophy Anton Chekhov, the famous playwright, about telling versus showing said: “Don't tell me the moon is shining; show me the glint of light on broken glass.” With this "Show me over Tell Me" philosophy that is imbibed in our corporate DNA, we produce Minimum Viable Products (MVPs) and delight our customers with solutions, not boring "solution decks". We accomplish these MVPs in our multi-cloud based Virtual Innovation Transformation Acceleration Lab (VITAL), wherein we synthesize ideas into a business concept (intake), select ideas (assess, evaluate, decide) and implement the selected ideas using the appropriate technology (fulfillment). We specialize in building Agency-wide Centers of Excellence for Data and Analytics, Intelligent Automation and Cloud Management.
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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.

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