Job
Description
As a Data Solutions Architect at Wolters Kluwer, you will play a crucial role in collaborating with cross-functional teams and project stakeholders to capture data and analytic use cases and requirements for projects or operational support across various business units. Your key responsibilities will include: - Building trust with business stakeholders/SMEs to extract requirements and influencing them towards the appropriate solution. - Working with ETL developers, report designers, and data teams to deliver the right data solution based on best practices, security, and quality standards. - Using strong communication skills, problem-solving abilities, and best practice knowledge to guide the development team, ensuring alignment with business analytic objectives. - Providing clear written and verbal communication on status updates and escalating issues/risks as necessary. - Leading others in resolving complex technical problems using advanced analytical thinking and ensuring Operations teams deliver on enhancement requests, identify root causes, resolve defects, and improve processes. - Designing and optimizing ETL workflows, ensuring scalability, performance, and reliability. Qualifications required for this role include: - A Bachelors Degree in computer science or a related field. - 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. - Proficiency in analyzing business needs, including scheduling meetings, planning agendas, consulting with business leaders, and delivering presentations to senior management, peer groups, and associates. - Ability to collaborate with data architects, data analysts, and business stakeholders to understand data requirements and ensure data accuracy, integrity, and consistency. Please note that applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. As a Data Solutions Architect at Wolters Kluwer, you will play a crucial role in collaborating with cross-functional teams and project stakeholders to capture data and analytic use cases and requirements for projects or operational support across various business units. Your key responsibilities will include: - Building trust with business stakeholders/SMEs to extract requirements and influencing them towards the appropriate solution. - Working with ETL developers, report designers, and data teams to deliver the right data solution based on best practices, security, and quality standards. - Using strong communication skills, problem-solving abilities, and best practice knowledge to guide the development team, ensuring alignment with business analytic objectives. - Providing clear written and verbal communication on status updates and escalating issues/risks as necessary. - Leading others in resolving complex technical problems using advanced analytical thinking and ensuring Operations teams deliver on enhancement requests, identify root causes, resolve defects, and improve processes. - Designing and optimizing ETL workflows, ensuring scalability, performance, and reliability. Qualifications required for this role include: - A Bachelors Degree in computer science or a related field. - 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. - Proficiency in analyzing business needs, including scheduling meetings, planning agendas, consulting with business leaders, and delivering presentations to senior management, peer groups, and associates. - Ability to collaborate with data architects, data analysts, and business stakeholders to understand data requirements and ensure data accuracy, integrity, and consistency. Please note that applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
