Data Architect

• LEAD THE DATA TRANSFORMATION
• JOIN THIS MULTINATIONAL ENVIRONMENT

Sobre o nosso cliente

Integrated on this multinational manufacturing group you will participate on the strategic Data committee.

Descrição

• Define Data Architecture: Design scalable, secure, and high-performing data architecture solutions aligned with business needs.
• Model Enterprise Data: Develop and maintain robust data models that support analytics, reporting, and operational needs.
• Lead Data Initiatives: Oversee the design and implementation of data pipelines, data warehouses, and lakehouse structures.
• Ensure Data Governance: Establish standards for data quality, metadata, lineage, and compliance.
• Collaborate Across Teams: Work closely with data engineers, analysts, domain experts, and business stakeholders to understand requirements and translate them into effective data solutions.
• Evaluate Technologies: Assess and recommend modern data platforms, tools, and frameworks to support the evolving data landscape.
• Promote Best Practices: Drive consistency in data modeling, architecture, and usage across the organisation.
• Support Analytics & Reporting: Enable self-service analytics by ensuring data accessibility and integration with BI platforms (e.g., Power BI, Tableau).
• Mentor & Guide: Support junior team members with architectural guidance and knowledge sharing.
• Align with Strategy: Ensure architectural decisions support long-term business and technology strategy.

Perfil ideal

A successful 'Data Architect' should have:

• Relevant experience in the design and implementation of data models for enterprise data warehouse initiatives.
• Experience leading projects involving data warehousing, data modelling, data analysis and SAP and other tecnhologies integration.
• Proficient in languages such as Java, Python, C/C++, and tools like SQL, R, SAS, and Excel.
• Modern Data Architecture: Skilled in designing and implementing cloud-based solutions (AWS, Azure), real-time data streaming (e.g., Kafka, Dataflow), and modern data platforms (e.g., Snowflake, Databricks).
• Integrating data from different sources namely SAP;
• Experience with SQL and NoSQL databases, and platforms such as Oracle, Hadoop, and Teradata.
• Data Modelling & Quality: Knowledge of entity-relationship modelling, metadata systems, and data quality techniques.
• Familiar with BI and ETL tools like Power BI, Tableau, and data integration platforms.
• Strategic & Architectural Thinking: Ability to align technical decisions with business needs and assess architecture options based on value delivery.
• Adaptability and a drive to adopt emerging technologies, especially in ML/AI.
• Excellent analytical and troubleshooting skills; able to guide technical design to meet business objectives.

Vantagens

• Permanent contract with the company
• Flexible working hours and a hybrid work model.
• Lunch Vouchers.
• Private Health Insurance.
• Aid to commuting.