Data Architect (GCP, Lisbon/ Porto)

at  CAPGEMINI ENGINEERING

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Lead the design, development, and maintenance of scalable and efficient data-centric applications and systems, guiding and mentoring junior and mid-level engineers.

• Collaborate closely with stakeholders to define data strategies and roadmaps, aligning them with business objectives and ensuring their successful execution.
• Support the team by implementing complex functions
• Architect robust, scalable, and high-performance data solutions while ensuring compliance with industry standards and best practices.
• Provide expert-level guidance on data analysis, modeling, and interpretation, driving strategic decision-making processes within the organization.
• Oversee the implementation of advanced ETL/ELT processes while emphasizing data quality, reliability, and efficiency improvements.
• Drive innovation in data infrastructure and methodologies, constantly seeking ways to optimize costs and enhance performance.
• Act as a subject matter expert in data governance, metadata management, and ensuring adherence to data compliance regulations.
• Collaborate effectively across departments, offering thought leadership and presenting technical solutions to diverse stakeholders

YOUR ROLE

• Lead the design, development, and maintenance of scalable and efficient data-centric applications and systems, guiding and mentoring junior and mid-level engineers.

• Collaborate closely with stakeholders to define data strategies and roadmaps, aligning them with business objectives and ensuring their successful execution.

• Support the team by implementing complex functions
• Architect robust, scalable, and high-performance data solutions while ensuring compliance with industry standards and best practices.
• Provide expert-level guidance on data analysis, modeling, and interpretation, driving strategic decision-making processes within the organization.
• Oversee the implementation of advanced ETL/ELT processes while emphasizing data quality, reliability, and efficiency improvements.
• Drive innovation in data infrastructure and methodologies, constantly seeking ways to optimize costs and enhance performance.
• Act as a subject matter expert in data governance, metadata management, and ensuring adherence to data compliance regulations.
• Collaborate effectively across departments, offering thought leadership and presenting technical solutions to diverse stakeholders.

8 or more years of experience in progressively responsible data engineering roles, showcasing leadership and mentorship qualities.

• Extensive proficiency in data warehouse design, implementation, and optimization, demonstrating expertise in complex problem-solving and architectural decisions.
• Advanced proficiency in multiple programming languages used for data engineering, showcasing versatility and adaptability to varied tech stacks (Python and SQL is mandatory)
• Extensive hands-on experience with GCP (knowledge of AWS or Azure is a nice to have).
• Extensive knowledge operating systems (Linux preferable).
• Deep understanding and proven expertise in data modeling, including experience in designing and implementing complex distributed systems.
• Extensive experience with big data technologies, having led or contributed significantly to large-scale data processing projects.
• Demonstrated thought leadership in data governance, metadata management, and establishing best practices for ensuring data quality and compliance.
• Outstanding communication skills with a proven ability to effectively convey complex technical concepts to diverse audiences.
• Strategic mindset with a track record of influencing decision-making processes and driving organizational data strategies.
• Familiarity with Standard AI/ML processes & Operations is greatly valued.
• Degree in computer science, software engineering, or in other engineering domains.
• Fluency in English is mandatory, and proficiency in additional languages is beneficial