Senior Enterprise Software Engineer

About the role

The current portfolio of enterprise transformation programs, including STEP/HANA migrations, Salesforce, SAP S/4HANA, TeamMate EU, TAA, Belgium, Poland, and broader EU platform consolidations, has increased significantly in scale, complexity, and business criticality. This position is required to provide hands-on architectural and engineering leadership across these initiatives, ensuring solutions are aligned to business outcomes, enterprise standards, integration strategy, governance expectations, and future-state architecture. The role will also help accelerate emerging AI, automation, agentic workflow, and data product initiatives by ensuring they are designed, integrated, governed, and operationalized safely and effectively.

Responsibilities

• Provide hands-on technical leadership across enterprise transformation programs, including SAP S/4HANA, Salesforce, Informatica, and custom applications.
• Translate business requirements into scalable end-to-end solution designs, data flows, integration patterns, and architecture decisions.
• Partner with Enterprise Architects, product teams, engineering teams, and business stakeholders to align delivery with target-state architecture.
• Strengthen architecture governance through design reviews, reusable patterns, documentation, standards, and alignment to WK technology principles.
• Lead and support cross-platform integrations, ensuring consistency in APIs, data movement, system interactions, security, and operational resilience.
• Contribute to AI agent, automation, and data product initiatives by shaping solution architecture, integration models, data readiness, and governance controls.
• Build proof of concepts where needed to validate technical feasibility, emerging technologies, AI-enabled workflows, and modernization opportunities.
• Help resolve complex technical challenges across development, integration, deployment, performance, and production support.
• Improve decision velocity by creating clear architecture options, trade-off analysis, diagrams, implementation guidance, and stakeholder-ready recommendations.
• Required Skills
• Strong enterprise software engineering experience with Java, Python, C#, or similar programming languages.
• Experience designing enterprise-scale solutions across distributed systems, APIs, microservices, integrations, and cloud-enabled platforms.
• Strong understanding of data architecture, data flows, data models, data products, analytics platforms, and enterprise data governance.
• Nice to have - exposure to platforms such as SAP S/4HANA, Salesforce, Informatica, or comparable enterprise systems.
• Ability to design and govern integration patterns across packaged platforms, custom applications, and enterprise data platforms.
• Working knowledge of AI/LLM agents, Copilot-style enablement, intelligent automation, or practical AI use cases in enterprise environments.
• Strong debugging, performance optimization, testing, deployment, and technical documentation skills.
• Ability to communicate complex technical decisions clearly to engineering teams, architects, product leaders, and business stakeholders.
• Proven ability to influence across teams, build consensus, and drive architecture alignment without relying on direct authority.
• Our Interview Practices
• Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

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