Descrição da Função

The Company You Will Work 
A leading European player in the renewable energy sector, this organization develops, owns, and operates clean energy assets across technologies such as wind, solar, biomass, and energy storage. With over 4 GW of installed capacity and a development pipeline exceeding 18 GW, it is deeply committed to accelerating the energy transition through innovation, sustainability, and digital transformation. 

Your New Mission

• Develop, implement, and maintain scalable data platform architectures to support advanced analytics initiatives.
• Continuously monitor and enhance the performance, scalability, and cost-efficiency of data infrastructure.
• Manage daily operations of the data environment, including incident response, disaster recovery strategies, and system maintenance.
• Define and oversee data lifecycle processes such as version control, archiving, and retention strategies.
• Collaborate with analytics teams to design data models and support use cases involving AI, machine learning, and data-driven insights.
• Build and evolve enterprise-wide data models that integrate information from various domains to enable analytical capabilities.
• Encourage cross-team collaboration to drive innovation and deliver impactful data solutions.
• Design the technical and IT architecture for use cases, ensuring alignment with established standards and best practices.
• Clearly communicate data architecture concepts to stakeholders and work closely with domain experts to implement solutions.
• Provide guidance and mentorship to junior data engineers and architects while coordinating with other technical teams.
• Ensure data quality, consistency, security, and compliance across the organization, in coordination with cybersecurity teams.

What You Need to be Succeed 

• Over 5 years of experience in a Data Architect role, preferably within cloud-based data ecosystems
• Hands-on experience with at Azure and their data services 
• Proficiency in cloud-native data platforms such as Databricks, Snowflake, or Azure Fabric, with knowledge of Spark, Delta Lake, etc.
• Familiarity with both relational databases (e.g., SQL Server, PostgreSQL, MySQL, Oracle) and NoSQL technologies (e.g., MongoDB, Cassandra).
• Strong SQL capabilities; experience with Python or Scala for data engineering; comfortable using version control tools.
• Solid understanding of enterprise data architecture patterns, including data lakes, warehouses, lakehouses, and cloud-native solutions.
• Experience with methodologies such as Inmon, Data Vault 2.0, Kimball, and dimensional modeling.
• Knowledge of data integration techniques and ETL/ELT tools (e.g., Apache Airflow, Azure Data Factory, Informatica, Talend).
• Familiarity with DevOps/MLOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Basic understanding of data protection practices, encryption, identity and access management, and regulatory compliance (e.g., GDPR, CCPA).
• Ability to identify technical risks and performance issues, and implement effective mitigation or optimization strategies.
• Understanding of data lineage, metadata management, cataloging tools, data quality frameworks, and stewardship processes.
• Basic knowledge of real-time data streaming tools (e.g., Kafka) for ingestion and processing.
• Proactive in evaluating and recommending new technologies, frameworks, and platforms aligned with evolving business needs.
• Proven experience in designing and optimizing big data pipelines, architectures, and datasets.
• Ability to translate complex technical concepts into clear, business-friendly language.
• Strong organizational skills with a background in project and change management.
• Experience working in fast-paced, cross-functional team environments.
• Excellent communication skills, both written and verbal, for effective collaboration across teams.
• Ability to foster a data-centric culture, promote best practices, and guide multidisciplinary teams.
• Skilled in assessing third-party solutions, managing vendor relationships, and negotiating contracts.
• Capable of identifying delivery gaps and addressing them through strategic thinking and leadership.

What The Company Can Offer You 

• Competitive Salary Package
• Annual Bonus 
• Meal Allowance 
• Health Insurance (for you and your family)
• Life Insurance
• Gym Allowance
• Home Allowance 
• Hybrid Work Model 
• Integration in Global Projects

Next Steps
If you’re interested in this opportunity, please send us your updated CV. If you’re looking for a different kind of professional challenge, feel free to reach out to discuss other career opportunities — always with complete confidentiality. 

Contacto

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