Beschreibung
• Start Date: ASAP• Location: Remote
• Contract Duration: 30/09/24 ++
• Contract Type: Freelance/B2B
Your Background.
• Accumulated over 7 years of experience as an architect specializing in applications, data, solutions, and enterprise, showcasing a track record of crafting technology strategies and roadmaps.
• Possesses advanced-level proficiency in designing, scaling, and securing contemporary, cloud-based solutions, with a preference for expertise in AWS (plus AWS IoT Stack), GCP, or Azure. Familiar with network security concepts, identity providers, and application hosting
• Demonstrates a deep understanding of integration architecture patterns spanning data, application, and service layers.
• Boasts broad technical expertise in data and analytics stacks, exhibiting architectural skills in data modeling and infrastructure solutions like classical data warehousing and big data architectures. Familiarity with SQL and big data tooling, such as the Apache Spark ecosystem.
• Stays up-to-date with a solid grasp of Data Mesh architecture, data and data science platforms, advanced analytics application development, and the AI/ML solutions lifecycle.
• Embraces a DevOps mindset with hands-on experience in Git, CI/CD, and deployment environments.
• Offers thought leadership and a track record of driving change across organizational boundaries through the articulate and persuasive communication of data-driven insights and analyses.
• Exhibits a strong customer focus and exceptional communication skills, navigating effortlessly in a global and multicultural environment.
• Displays a passionate commitment to data and analytics, dedicated to realizing data value throughout all facets of an organization and ecosystems.
Your Responsibilities:
• Collaborate with product managers, data, and digital professionals across the organization to formulate our technology strategy and roadmap.
• Create overarching solution designs and architecture patterns to expedite the implementation of data and AI solutions.
• Establish design and development principles to guide our teams.
• Assist delivery teams in crafting product solution architectures and conduct reviews of architecture and solution designs.
• Take charge of technology selection and assessment, contributing to the development of implementation roadmaps for integrating the appropriate technology stack into our ecosystem.
• Make critical design decisions and lead solution investigations.
• Contribute to various Data Governance initiatives by providing technical architecture support, particularly aiming for a Data Mesh implementation, including Metadata Management, Data Quality, and Data Modeling.