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Lead Data Architect (M/F)

KLx

07.06.2025 | | Referência: 2278766


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Empresa:

KLx


Descrição da Função

About KLx


KLx is the Portuguese subsidiary of Crédit Agricole S.A., a large international banking group that provides IT Skills & Software Development services to the IT organizations within the group's business lines. Our mission is to assist with the IT transformation & activities of a worldwide bank capitalizing on all the skills from our international campus in Lisbon.


About Responsibilities


Within our Expertise Development Pole led by our CTO, you will play a crucial role to shape and optimize how our organization leverages data. With a focus on data visualization, data management, data governance, and data analysis, you will drive strategic initiatives while ensuring reliable data solutions.


Beyond technical excellence, you'll lead cross-functional teams and transform complex concepts into actionable insights for non-technical stakeholders.


Your main missions will be:


  • Design and develop scalable and efficient data driven architecture solutions to meet organizational needs.
  • Oversee data visualization initiatives, creating user-friendly dashboards and reports that empower stakeholders to make informed decisions.
  • Lead data management strategies, including data governance, collection, transformation, integration, and storage, ensuring data quality and reliability.
  • Implement and optimize data governance frameworks to ensure compliance, security, and ethical use of data.
  • Perform advanced data analysis to uncover trends, patterns, and insights that drive strategy and innovation.
  • Collaborate with cross-functional teams to deliver end-to-end data solutions, aligning technical capabilities with business objectives.
  • Communicate complex technical concepts effectively to non-technical stakeholders, fostering trust and understanding.
  • Write, debug, and optimize code to directly contribute to the development and maintenance of data systems.
  • Stay ahead of industry trends, emerging technologies, and best practices to continuously enhance our data capabilities.
  • Mentor and guide team members, promoting skill development and professional growth within the company and the group.



About You


  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Proven experience in data engineering, data architecture, or a similar role.
  • Strong proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and programming languages (e.g., Python, SQL, Java, Go).
  • Deep understanding of data management, governance, and analysis methodologies.
  • Hands-on experience with cloud platforms (e.g., GCP, AWS), big data technologies (e.g., Spark, Hadoop), Data Warehose/Lake technologies (e.g. SnowFlake, others), and event streams and message queues (e.g. Kafka, RabbitMQ).
  • Exceptional leadership skills with the ability to guide and motivate cross-functional teams.
  • Outstanding interpersonal and communication skills, with a proven ability to present technical information to diverse audiences.
  • Problem-solving mindset with a proactive approach to identifying and resolving challenges.
  • Passion for continuous learning and staying updated with the latest trends and innovations in the data field.
  • Experience in Project Management or Agile leadership roles are a plus.
  • Fluency in English is mandatory, French is a real plus.



What We Offer


  • Competitive Salary + Bonus + Flex Benefits + Health Insurance,
  • Hybrid working model, allowing you to combine onsite and offsite work,
  • Open Space with a lovely location next to Tejo, 5 minutes' walk from Metro and Train Station, 15 minutes' drive from Humberto Delgado's airport,
  • Canteen facilities (Breakfast + Lunch),
  • Parking upon request (option to charge electrical cars),
  • Free coffee, hot chocolate and fruits,
  • Training (Hard and Soft Skills),
  • International environment with more than 15 nationalities,
  • A people oriented and friendly working environment.


Observações

Not Specified (Portugal)





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