Senior Enterprise Software Engineer

Wolters Kluwer; Pune District; On-site; INR 223,200 - 334,800; Full time

Job summary

Wolters Kluwer is seeking candidates for an enterprise architect role in Pune, India. This position involves hands-on leadership in enterprise transformation programs, focusing on solutions that are aligned with business outcomes and governance expectations.

Ideal candidates will have strong experience in software engineering, especially with Java, Python, or C#. Additional knowledge in data architecture, microservices, and integration patterns is essential. The role offers opportunities to engage in AI and automation initiatives.

Qualifications

• Strong enterprise software engineering experience with Java, Python, C#, or similar languages.
• Experience designing enterprise‑scale solutions across distributed systems and APIs.
• Strong understanding of data architecture and enterprise data governance.

Responsibilities

• Provide hands‑on technical leadership across enterprise transformation programs.
• Translate business requirements into scalable solution designs and architecture decisions.
• Partner with teams to align delivery with target‑state architecture.

Skills

Software engineering experience

Java, Python, C#

Enterprise-scale solutions design

Data architecture

Integration patterns

AI/LLM agents knowledge

Communication skills

Consensus building

Tools

SAP S/4HANA

Salesforce

Informatica

Job description

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 provides 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 also accelerates emerging AI, automation, agentic workflow, and data product initiatives by ensuring they are designed, integrated, governed, and operationalized safely and effectively.

Key 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 proofs of concept 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.