Data Architect

Allen Recruitment Consulting
Madrid, Spain
9 days ago
Apply on www.buscojobs.com.es
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Agile Methodology Airflow Amazon Web Services Microsoft Azure Big Data Data Architecture Information Engineering Data Files Data Infrastructure Data Integrity Extract Transform Load (ETL) Data Systems
+16 more
Python (Programming Language) PostgreSQL Microsoft SQL Server Oracle (Applications) Software Deployment Workflow Management Systems Data Processing Google Cloud Cloud Platform System Azure Data Factory Data Lakes Pyspark Information Technology Data Management Software Coding Data Pipelines

Job description

Location: Madrid, Madrid, Spain Remote: Remote Type: Permanent Job #*** Exciting Senior Data Architect Opportunity with Pan European Impact Our client, a dynamic international organisation dedicated to pioneering innovative data platforms, is seeking a highly experienced Data Lead to drive the design and deployment of a centralised data infrastructure.This fully remote (within Spain) role offers a unique blend of strategic influence and hands-on technical work, providing an exceptional opportunity to shape global data strategies while mentoring local teams across Europe.The position promises engaging projects, professional growth, and a competitive compensation package, making it ideal for senior data professionals eager to make a meaningful impact in a forward-thinking environment.Role Description In this role, you’ll take ownership of developing and managing a scalable, secure central data platform that integrates multiple local markets, enabling standardized and local reporting capabilities.You’ll directly contribute through coding and data engineering tasks, while also guiding small, local data teams.Collaborating with internal stakeholders and global IT, you will establish best practices, foster innovation, and support automation initiatives.The role requires balancing technical excellence with strategic leadership to ensure the success of cross-market data projects.Technical Must Have Skills: Cloud Platform Expertise - Hands-on experience with major cloud providers, preferably Microsoft Azure; AWS or Google Cloud is also acceptable, with practical deployment knowledge.Proficiency in Python - Strong coding skills to develop and optimise data pipelines, ETL workflows, and automation processes, with the ability to work hands-on.Data Management & Governance - Sound understanding of data quality, security, and governance standards, ensuring compliance and data integrity across diverse datasets.Extensive Data Architecture & Engineering Experience - Proven ability to design and implement large-scale, resilient data systems with a deep understanding of structured data (Oracle, SQL Server, Postgres).Experience Handling Large & Varied Datasets - Track record working with complex, structured/tabular data sets in multiple environments, supporting scalable analytics and reporting needs.Nice to Have Skills: Orchestration Tools Knowledge - Experience with systems like Airflow, Azure Data Factory, or similar tools to streamline data workflows and enhance automation.Familiarity with Modern Data Technologies - Knowledge of Delta Lake, PySpark, or Polars for high-performance data processing and storage solutions.Leadership & Mentoring Capabilities - Ability to guide and develop smaller data teams, sharing best practices and fostering continuous learning.Stakeholder Communication Skills - Aptitude to translate complex technical concepts to non-technical stakeholders effectively, facilitating collaboration and alignment.Project Management & Agile Practices - Experience leading data projects with a focus on collaboration, planning, and delivery in fast-paced environments.Additional Functional Requirements: Strong Interpersonal Skills - Ability to mentor / manage junior staff and collaborate effectively with cross-functional teams.Problem-Solving Mindset - Skilled in diagnosing complex data issues and developing innovative solutions.Adaptability - Comfortable working remotely across different time zones and with diverse cultural teams.Analytical Thinking - Capability to interpret data needs and translate them into technical specifications and infrastructure designs.Commitment to Best Practices - Focused on maintaining high standards in data quality, security, and operational excellence.Educational and Certification Requirements Bachelor’s or Master’s Degree in Computer Science, Data Engineering, or a related field - A relevant degree or equivalent practical experience.Relevant Certifications (preferred) - Certifications in cloud platforms (Azure, AWS, GCP) or data architecture are advantageous.Job Ref: BBBH*** Next Steps If you possess the required experience and are excited about leading innovative data initiatives on a global scale, we invite you to apply today.Please submit your CV and a brief cover letter highlighting your relevant expertise.Our team is eager to review your application and discuss how you can make a strategic impact with our client.For questions or more information, feel free to contact us at.We look forward to connecting with talented professionals ready to take their career to the next level!

Requirements

Technical Must Have Skills: Cloud Platform Expertise - Hands-on experience with major cloud providers, preferably Microsoft Azure; AWS or Google Cloud is also acceptable, with practical deployment knowledge. Proficiency in Python - Strong coding skills to develop and optimise data pipelines, ETL workflows, and automation processes, with the ability to work hands-on. Data Management & Governance - Sound understanding of data quality, security, and governance standards, ensuring compliance and data integrity across diverse datasets. Extensive Data Architecture & Engineering Experience - Proven ability to design and implement large-scale, resilient data systems with a deep understanding of structured data (Oracle, SQL Server, Postgres). Experience Handling Large & Varied Datasets - Track record working with complex, structured/tabular data sets in multiple environments, supporting scalable analytics and reporting needs. Nice to Have Skills: Orchestration Tools Knowledge - Experience with systems like Airflow, Azure Data Factory, or similar tools to streamline data workflows and enhance automation. Familiarity with Modern Data Technologies - Knowledge of Delta Lake, PySpark, or Polars for high-performance data processing and storage solutions. Leadership & Mentoring Capabilities - Ability to guide and develop smaller data teams, sharing best practices and fostering continuous learning. Stakeholder Communication Skills - Aptitude to translate complex technical concepts to non-technical stakeholders effectively, facilitating collaboration and alignment. Project Management & Agile Practices - Experience leading data projects with a focus on collaboration, planning, and delivery in fast-paced environments. Additional Functional Requirements: Strong Interpersonal Skills - Ability to mentor / manage junior staff and collaborate effectively with cross-functional teams. Problem-Solving Mindset - Skilled in diagnosing complex data issues and developing innovative solutions. Adaptability - Comfortable working remotely across different time zones and with diverse cultural teams. Analytical Thinking - Capability to interpret data needs and translate them into technical specifications and infrastructure designs. Commitment to Best Practices - Focused on maintaining high standards in data quality, security, and operational excellence. Educational and Certification Requirements Bachelor’s or Master’s Degree in Computer Science, Data Engineering, or a related field - A relevant degree or equivalent practical experience.

Benefits & conditions

Relevant Certifications (preferred) - Certifications in cloud platforms (Azure, AWS, GCP) or data architecture are advantageous. Job Ref: BBBH***** Next Steps If you possess the required experience and are excited about leading innovative data initiatives on a global scale, we invite you to apply today. Please submit your CV and a brief cover letter highlighting your relevant expertise. Our team is eager to review your application and discuss how you can make a strategic impact with our client. For questions or more information, feel free to contact us at. We look forward to connecting with talented professionals ready to take their career to the next level!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

Videos

See all

Related articles

See all