Lead Enterprise Software Engineer

Responsibilities:

• Collaborate with cross-functional teams and project stakeholders to capture data and analytic use cases and requirements for projects or operational support across various Wolters Kluwer business units.
• Build trust with business stakeholders/SMEs to extract requirements and, when necessary, influence them toward the appropriate solution.
• Work with ETL developers, report designers, and data teams to deliver the right data solution based on best practices, security, and quality standards.
• Use strong communication skills, problem-solving abilities, and best practice knowledge to guide the development team, ensuring alignment with business analytic objectives.
• Provide clear written and verbal communication on status updates and escalate issues/risks as necessary.
• Lead others in resolving complex technical problems using advanced analytical thinking; ensure Operations teams deliver on enhancement requests, identify root causes, resolve defects, and improve processes.
• Design and optimize ETL workflows, ensuring scalability, performance, and reliability.

Required experience:

• Education: Bachelor’s Degree in computer science or a related field is required.
• Experience: A minimum of 10+ years of broad Information Technology experience.
• Expertise in Informatica ETL/data integration and data reporting/analytic processes, technologies, and architectures.
• Deep understanding of data warehouse design and data modeling.
• Strong knowledge of RDBMS (Oracle, DB2, MySQL, or SQL Server), including data modeling and datamart design.
• Expertise in ETL tools such as Informatica Powercenter and IICS.
• Good knowledge in unix scripting.
• Experience with cloud-based data warehousing solutions (e.g., Snowflake, AWS Redshift, Google BigQuery) is a plus.
• Proficient in analyzing business needs, including scheduling meetings, planning agendas, consulting with business leaders, and delivering presentations to senior management, peer groups, and associates.
• Can collaborate with data architects, data analysts, and business stakeholders to understand data requirements and ensure data accuracy, integrity, and consistency.