Data Architect Our client is one of the largest global enterprises in the medical equipment and technology sector. You will serve as a hands-on technical expert to drive data initiatives in Americas region, leveraging modern cloud stacks to build scalable data products that support business growth and innovation. Key Responsibilities Architectural Translation: Convert complex business requirements into robust technical concepts and high-performance data pipeline designs; Data Vault: Lead the design, documentation, and deployment of data transformation processes utilizing the Data Vault framework; Pipeline Engineering: Build and manage sophisticated data structures with integrated metadata capture, automated lineage, and \"Quality by Design\" principles; Data Governance & Profiling: Conduct deep-dive data profiling to map source systems, validation rules, and lineage across diverse data domains; Agile DevOps: Execute high-quality deployments using state-of-the-art DevOps methods; Collaboration: Partner with platform architects and stakeholders to continuously optimize data operations and platform scalability. Required Qualifications Degree in Computer Science, Data Analytics, or a related field; Relevant expertise in the Data Vault framework, DBT and Snowflake or equivalent data stack; Solid experience designing and data pipelines within cloud-based environments; Proven track record of managing and optimizing multi-terabyte (TB) datasets; Ability to abstract complex data challenges into reusable modules and modular components. Fluent English.