Lead Data Architect

.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 ResponsibilitiesWithin 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 YouBachelor'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