Data Architect

Anika Systems

. Design scalable enterprise data architectures, data lakes, warehouses, and analytics platforms on AWS .

Posted 11/2/2026full-timeRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable enterprise data architectures and implementing AI-enabled solutions on AWS. Proficient in data modeling, governance, and building optimized data pipelines using Python and SQL.

Highest-signal resume keywords

Data ArchitectureAWS Data PlatformsPython ProgrammingData ModelingAI Evaluation Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData IntegrationMetadata ManagementETL ProcessesSQLAPIsServerless ArchitecturesAI Solutions ImplementationData GovernanceData Quality

Soft Skills

Strong CommunicationStakeholder Engagement

Tools & Technologies

AWSVector DatabasesPgvectorAgileDevSecOpsCI/CD

Certifications & Qualifications

AWS Data Engineering CertificationAWS Solutions Architecture CertificationAWS Machine Learning CertificationAWS Generative AI Certification

Industry Keywords

Enterprise Data ManagementData LakesData WarehousesAI AgentsRAG SolutionsLLM IntegrationsMCP IntegrationsSemantic SearchBusiness Impact MeasurementFederal Suitability Clearance

Tech Stack

Tools & technologies

AWSETLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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