Data Architect

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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This company has sponsored H1B visas in the past.

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Anika Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

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 scalable enterprise data architectures, data lakes, warehouses, and analytics platforms on AWS • Develop logical, physical, and dimensional data models • 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 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

🎯 Requirements

• 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 suitability clearance • Preferred: experience supporting federal agencies • Preferred: experience with vector databases such as pgvector • Preferred: AWS certifications in Data Engineering, Solutions Architecture, Machine Learning, or Generative AI • Preferred: experience with Agile, DevSecOps, and CI/CD practices

🏖️ Benefits

• 100% remote work • Professional growth opportunities • Employee autonomy and empowerment • Collaborative, trust-based, transparent work environment

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