IT Data Architect
MKS PAMP
full-time
Posted on:
Location Type: Hybrid
Location: Barcelona • Spain
Visit company websiteExplore more
About the role
- Reporting directly to the Global Head of IT Architecture, the Data Lead / Data Architect is responsible for defining, designing, and governing the company’s end-to-end data architecture and data strategy.
- Ensure that data platforms, pipelines, and models are scalable, secure, and aligned with business and analytics needs.
- Act as a bridge between business, engineering, and analytics to enable reliable, high-quality data products that support decision-making, innovation, and long-term growth.
- Define and own the enterprise data strategy, data architecture, and target-state roadmap.
- Own and maintain the existing Oracle Data Warehouse, ensuring stability, performance, data quality, and business continuity.
- Oversee optimization, monitoring, and support of current Oracle-based workloads while minimizing technical debt.
- Design, develop, and maintain modern data platform architecture in Microsoft Azure environments.
- Define data models (conceptual, logical, and physical), integration patterns, and standards for batch and real-time data processing.
- Define and execute a phased migration strategy to move workloads, data models, and reporting from Oracle Data Warehouse to new target architecture.
- Oversee the design and implementation of data pipelines and ETL/ELT processes. Ensure data reliability, performance optimization, and monitoring across ingestion, transformation, and consumption layers.
- Establish and enforce data governance frameworks, data quality standards, and metadata management.
- Work closely with enterprise architect, business stakeholders, analytics teams, BI, ML, and software engineering to ensure proper alignment of data architecture.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 7+ years of experience in data architecture, data engineering, or advanced analytics roles
- 2+ years in a technical leadership or managerial role
- Strong expertise in SQL and data modeling (dimensional, normalized, and analytical models)
- Hands-on experience designing and operating large-scale data platforms (real-time data processing experience will be a plus)
- Experience with Azure or other cloud providers and modern data warehouses/lakehouses
- Solid background in ETL/ELT frameworks and data pipeline orchestration
- Experience in setting up data governance and data management
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata engineeringdata modelingSQLETLELTdata pipeline orchestrationdata governancedata qualityreal-time data processing
Soft Skills
leadershipcommunicationcollaborationproblem-solvingstrategic thinking
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in Data EngineeringMaster’s degree in Data EngineeringBachelor’s degree in Information SystemsMaster’s degree in Information Systems