Data Architect

At Florence software, we're seeking a Data Architect to design and implement scalable data architectures and models across enterprise systems, data platforms, and analytics environments. The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Data Science, or related field, and 10+ years of experience in data management, data modeling, and data lifecycle.

Requirements

• Own the end-to-end architecture, design, and evolution of the enterprise data platform and technology stack
• Design and implement scalable data architectures including data lakehouse, data mesh, and MDM frameworks
• Define and maintain enterprise data models (conceptual, logical, physical) and standards
• Establish data governance, metadata management, data quality, and stewardship practices
• Lead design of data pipelines, data integration patterns, and real-time/streaming architectures (e.g., Kafka)
• Collaborate with business and engineering teams to translate requirements into data solutions and architectures
• Oversee data lifecycle management including ingestion, transformation, storage, consumption, and retirement
• Ensure data quality, integrity, and consistency across systems and platforms
• Define and enforce standards for data modeling, data access, and data security
• Evaluate and recommend tools, platforms, and technologies aligned with business goals
• Provide technical leadership, mentorship, and guidance to data engineering and analytics teams
• Document and maintain data architecture, flows, and system integrations
• Design data architectures to support AI/ML workloads, GenAI applications, and advanced analytics
• Enable feature stores, vector databases, and embedding pipelines for AI use cases
• Collaborate with AI/ML teams to ensure scalable and reliable data pipelines for model training and inference
• Support implementation of LLM-based applications (e.g., RAG architectures) with optimized data access patterns
• Ensure responsible AI practices including data privacy, bias mitigation, and model data traceability
• Integrate structured and unstructured data sources (documents, text, images) into unified data platforms

Benefits

• Competitive compensation package
• Medical and dental insurance
• Office space in the heart of the city