Softblues

Responsibilities

• Define and evolve the target architecture for the assigned solution scope
• Create and maintain solution vision, roadmap, and architecture documentation
• Assess technical dependencies, risks, and complexity across the solution landscape
• Document and govern architectural decisions, technical designs, and technical debt
• Ensure compliance with non-functional requirements such as scalability, security, and performance

Profile

• Proven experience as a Solution Architect in complex enterprise environments
• Strong expertise in Microsoft Dynamics CRM / Dynamics 365
• Experience designing and governing scalable solution architectures
• Solid understanding of architectural decision-making, technical governance, and documentation
• Experience working in agile product and development organizations
• Experience with Conga

As a Data & AI Project Leader, you will bridge strategy and execution. You will lead multidisciplinary teams delivering modern data platforms and AI-powered products while working closely with clients and internal experts to translate ideas into scalable, production-grade solutions.

You will combine technical leadership, project delivery, and client collaboration to drive successful data and AI initiatives from concept to operation.

Your daily tasks will include

• Lead end-to-end delivery of Data & AI projects. Guide projects from discovery and solution design through implementation and production rollout, ensuring quality, reliability, and business impact.
• Bridge business goals with technical solutions. Work with clients and internal teams to translate business requirements into scalable data architectures and AI-driven capabilities.
• Coordinate multidisciplinary teams. Lead collaboration between data engineers, AI engineers, software engineers, and data scientists to deliver cohesive solutions.
• Shape the technical direction of projects. Contribute to architecture decisions across data platforms, analytics environments, and AI/ML systems.
• Drive project planning and delivery excellence. Manage scope, priorities, timelines, and risks while ensuring alignment with stakeholder expectations.
• Enable scalable data and AI capabilities. Support the design and implementation of modern data platforms, ML pipelines, and AI services deployed in cloud environments.
• Contribute to pre-sales and solution design. Participate in discovery workshops, technical scoping, and proposal development for new Data & AI initiatives.
• Promote engineering best practices. Ensure high standards for architecture, documentation, security, data governance, and operational excellence.

• Mentor and grow teams. Guide engineers and project members, fostering collaboration, technical excellence, and continuous learning.

   

What will make you succeed in this role

• Experience leading Data or AI projects. 5+ years working with data platforms, analytics solutions, or AI/ML systems, including experience coordinating teams or project delivery.
• Strong understanding of modern data architectures. Knowledge of data platforms, pipelines, lakehouse/warehouse architectures, and data governance principles.
• Familiarity with AI/ML ecosystems. Understanding of ML workflows, model lifecycle management, and modern AI capabilities such as LLMs, RAG systems, or AI agents.
• Cloud and platform experience. Hands-on exposure to cloud environments (Azure, AWS, or GCP) and data/AI technologies such as Databricks, MLflow, Airflow, or similar ecosystems.
• Delivery and stakeholder management skills. Ability to coordinate complex initiatives, manage priorities, and communicate effectively with both technical and business stakeholders.
• Strong collaboration mindset. You thrive in multidisciplinary environments and enjoy enabling others to succeed.
• Curiosity for emerging technologies. Interest in exploring new developments in AI, data engineering, and cloud technologies.
• Fluent English. Additional languages (such as German) are a plus.

What you can expect

• Working on impactful Data & AI projects across industries
• Collaborating with experienced engineers, data scientists, and architects
• Shaping modern data platforms and AI-powered applications
• Continuous learning and development opportunities
• Flexible working environment with strong team culture