onsite
Data Architect - Luxoft
Software Engineer
Design and implement scalable data architectures that enable AI and machine learning initiatives, ensuring robust data models, governance, and pipelines for high-quality, AI-ready data.
About the role
Key Responsibilities
- Develop and maintain conceptual, logical, and physical data models that support AI and machine learning workloads.
- Design and optimize data storage patterns, ensuring performance, scalability, and compliance with governance standards.
- Collaborate with data engineers and ML engineers to build and maintain end‑to‑end data pipelines that feed analytics and model training.
- Implement data quality and validation frameworks to guarantee reliable, AI‑ready data across the organization.
- Define and enforce data governance policies, including metadata management, security, and data lineage.
Requirements
- Strong experience in data modeling, schema design, and data architecture for large-scale systems.
- Proficiency in building and optimizing data pipelines using modern ETL/ELT tools.
- Knowledge of machine learning workflows and the data requirements of AI solutions.
- Familiarity with data governance best practices and regulatory compliance.
- Excellent communication skills and ability to work cross‑functionally with engineering and analytics teams.