Senior Enterprise Software Engineer

About the role

We are seeking a highly customer-focsued, AI-first, and growth-oriented lead developer to join as Enterprise Software Engineer III to lead the design and delivery of key data and AI initiatives for our Corporate Data cloud ecosystem and intelligent automation platforms. This lead will work with business partners to drive use-cases, ensuring technology solutions are directly aligned to measurable business outcomes. They will champion metric-driven productivity, drive global scalability, and build highly available data solutions. The role will also play a critical role in shaping an AI-first, data-driven organization, leveraging modern architectures and emerging technologies to unlock business value.

Responsibilities

• Customer & Business Impact
• Demonstrate Customer focus by deeply understanding business needs and translating them into scalable, high-impact technology solutions
• Drive use-case management discipline, ensuring all initiatives are clearly defined, and tied to business value realization
• Partner with business partners and other GTS teams to deliver solutions aligned to strategic outcomes
• Technology & AI Leadership
• Lead the design and implementation of cloud data platforms/products, analytics, and agentic AI solutions
• Champion and help drive an AI-first mindset, identifying opportunities to embed intelligence, automation, and predictive capabilities into the ecosystem
• Bring thought leadership in emerging technologies, modern data architectures, and cloud innovation
• Execution Excellence & Metrics
• Ensure high availability, scalability, security, and performance of data ingestion and cloud data warehouse platfrom
• Drive data-driven decision-making, using operational metrics to optimize delivery quality and efficiency
• Collaboration & Communication
• Be an effective communicator, aligning cross-functional stakeholders across architecture, security, QA, and operations
• Analyzing business needs, including scheduling meetings, planning agendas, collaborating with business users to refine and deliver solutions.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills
• Governance & Delivery
• Understand and comply with engineering standards, design guidelines, and governance frameworks
• Oversee all phases of delivery-from architecture through production support
• Ensure consistent adherence to quality, security, and compliance requirements
• Required Experience
• Education
• Bachelor's degree in Computer Science or related field

Requirements

• 8+ years of broad IT experience in enterprise data and cloud ecosystems
• 6+ years of hands-on experience designing and building cloud data platforms (Snowflake, Informatica IDMC or similar)
• Proven track record of delivering highly available, scalable, and resilient cloud data solutions
• Technical Expertise
• Strong experience in: Cloud data warehousing and data engineering in Snowflake (or other cloud native data platforms)
• Experience in using Agentic AI solutions to deliver data solutions
• Dimensional modeling, data mesh, and modern data architectures
• Solid understanding of latest GenAI solutions to deliver data engineering solutions
• SQL and Python development
• Data integration, governance, and information management
• Preferred Leadership Traits
• Customer-focused: Relentless focus on delivering customer value
• Use-Case Driven: Prioritizes outcomes over outputs
• Metric-Oriented: Drives accountability through measurable results
• Effective Communicator: Clear, concise, and influential communicator
• AI-First: Leverages AI/ML as a foundational capability
• Tech-Aware: Continuously evolves with emerging technologies
• Growth-Oriented: Committed to continuous improvement and innovation
• Highly Available Leader: Ensures systems and teams operate with resilience and reliability
• 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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