MicroAgility

AI Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role, AI Data Architect, is a remote contract position for 8-12 years of experience in data architecture. Key skills include AI/ML system design, cloud-native ecosystems, and data governance. Preferred qualifications include GenAI architecture experience and cloud certifications. Pay rate is competitive.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
February 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#Cloud #BigQuery #Data Lake #Databases #Data Management #AI (Artificial Intelligence) #Agile #Data Integration #MDM (Master Data Management) #Scala #"ETL (Extract #Transform #Load)" #Batch #Data Governance #Metadata #Data Architecture #Data Catalog #Azure #Data Pipeline #Data Quality #Compliance #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Snowflake #ML (Machine Learning) #Delta Lake #Security #Kafka (Apache Kafka) #Data Engineering #Data Science
Role description
MicroAgility is a digital transformation company that drives growth through a people-first approach to technology. Since 2003, founded in the USA, and across 8 offices in North America and Asia Pacific regions, we bring real-world and local expertise to every project. Having helped Fortune 500 and midmarket companies reimagine how they operate, we are committed to using technology to improve the experience for the people involved. Join our team and shape the digital experiences of a diverse client portfolio through innovative design and collaboration. Opportunity The AI Data Architect designs and governs scalable, secure, and high-performance data architectures that enable AI, ML, and GenAI solutions across the organization. This role bridges business use cases, data engineering, and AI development. Key Responsibilities: Design end-to-end data architectures supporting AI/ML/LLM workloads (training, inference, RAG). Define enterprise data models, lakehouse architectures, and data integration patterns. Establish data governance, lineage, quality, and metadata management frameworks. Enable real-time and batch data pipelines for AI use cases. Collaborate with ML Engineers and Data Scientists to optimize feature stores. Ensure compliance with security, privacy, and regulatory standards. Select and standardize AI-ready data platforms and tools. Key Requirements: AI & Data Stack Exposure Data Lakes/Lakehouse: Delta Lake, Iceberg, BigQuery, Snowflake Streaming: Kafka, Event Hubs, Pub/Sub AI Enablement: Feature Stores, Vector Databases (Pinecone, FAISS) Governance: Data Catalogs, MDM, Data Quality tools Required Skills & Experience 8–12 years in data architecture and enterprise data platforms Strong experience designing architectures for AI/ML systems Expertise in cloud-native data ecosystems Strong stakeholder communication and solutioning skills Preferred Experience with GenAI architectures (RAG, embeddings, prompt pipelines) Cloud certifications (Azure/AWS/GCP – Data Architect) Personal Traits: Agile, goal-oriented and performance-driven. Passion for technology and understanding of [data-driven] solutions. Ability to build and maintain strong professional relationships. Highly analytical with a knack for understanding client needs and market dynamics. Why Work with Us Competitive compensation. Opportunity to work on innovative projects for high-profile clients. A collaborative, inclusive, and supportive work environment. Opportunities for professional growth and development. Work with a team of passionate, talented, and creative individuals. Job Type: Contract Work Location: Remote