Data Architect

The Data Architect is responsible for designing and guiding modern data architecture solutions that support business analytics and data platform needs. This role focuses on architecting scalable secure and high-performing data environments across cloud hybrid and on-premises platforms.

The position requires strong expertise in data architecture platform design governance and technical leadership with the ability to support implementation teams and drive sound architectural decisions. Experience with AI-related architecture concepts is advantageous but not required.

Key Responsibilities

Data Architecture & Design

• Lead the design of modern data environments including data lakes data warehouses and lakehouse architectures.
• Define data integration patterns ingestion frameworks ETL/ELT processes and real-time or streaming architectures.
• Develop logical physical and conceptual data models aligned to business and analytical requirements.
• Ensure data platforms are designed for scalability reliability performance and cost efficiency.

Platform & Solution Architecture

• Design data solutions across cloud hybrid and on-premises environments.
• Define frameworks for storage compute security metadata and data lineage.
• Recommend architecture approaches technology options and best practices aligned with enterprise standards.
• Ensure solutions align with broader architecture principles and governance requirements.

Data Governance & Security

• Support the design and implementation of data governance frameworks and metadata management practices.
• Define approaches for access controls data quality cataloging lineage and compliance requirements.
• Ensure alignment with enterprise security standards and relevant regulatory requirements.

Technical Leadership & Delivery Support

• Collaborate with engineering and delivery teams to support successful implementation of architecture solutions.
• Provide technical leadership throughout development integration and deployment activities.
• Conduct architecture reviews design validation and performance optimization assessments.
• Produce and maintain technical documentation architecture diagrams and design specifications.

Preferred AI Architecture Exposure

Experience in the following areas is considered an advantage:

• AI and machine learning architecture patterns
• Large language model (LLM) retrieval-augmented generation (RAG) or generative AI solution design
• Data pipelines supporting AI workloads
• Model lifecycle and operational considerations
• AI infrastructure and compute environments

Qualifications

Required

• Bachelors or Masters degree in Computer Science Data Engineering Information Systems or a related field.
• 512 years of experience in data architecture data platform engineering or related solution design roles.
• Strong hands-on experience with modern data platforms including cloud and distributed data environments.
• Deep understanding of ETL/ELT processes data modeling data governance and security principles.
• Strong knowledge of modern data architecture patterns including lakehouse warehouse and integration frameworks.

Preferred

• Experience working in consulting or systems integration environments.
• Exposure to AI architecture concepts and supporting technologies.

Key Competencies

• Data architecture and solution design
• Technical leadership and architecture governance
• Data modeling and integration strategy
• Security and data governance
• Performance optimization and scalability planning

Core Technical Skills

• Modern cloud data platforms
• Data lake warehouse and lakehouse architecture
• ETL/ELT and integration pipelines
• Data modeling and metadata management
• Data governance and security frameworks