Data Architect

Vertex - King of Prussia, PA

Full-time - Senior

Remote - King of Prussia, PA

Publishing Industries

About the position

The Data Architect position at Vertex Inc. is focused on providing technical leadership for the development of a master data capability within the Vertex Data Platform. This role involves defining the architectural approach to transform the Data Platform into a master data hub, integrating necessary functional components, and leading the engineering efforts to develop master data domains. The position requires collaboration with various stakeholders, including architects, software engineers, and data governance teams, to ensure effective implementation and management of master data across the organization.

Responsibilities

• Design the overall architecture of the master data capability of Vertex's Cloud Data Platform.
• Investigate and use state-of-the-art, available master data technologies where relevant.
• Lead the systems integration effort to turn the Data Platform into a Master Data Hub.
• Provide thought leadership and contribute to the development of best practices, methodologies, and tools for Master Data Governance architecture and design.
• Partner with architects and other technical team members to develop roadmaps and strategies to support KPIs.
• Review functional requirements, analysis, and design documents and provide feedback.
• Produce relevant solution design artifacts based on functional requirements and analysis documents including, but not limited to, written technical estimates, conceptual, logical, and physical system designs, sequence diagrams, and data models.
• Ability to work independently with wide latitude for independent decision making.
• Lead the work of others and mentor less experienced developers in the context of a project and liaise with colleagues to help implement technical designs.
• Participate in architecture and code reviews.
• Lead or participate in other projects or duties as need arises.
• Assist customer support with technical problems and questions.

Requirements

• Deep understanding of master data management principles, architectures and industry best practices.
• Knowledge of relevant MDM software tools and technologies is essential, including capabilities available as components (e.g., entity resolution capabilities).
• Hands-on experience with business processes across multiple master data domains.
• Experience designing and integrating disparate data models into coherent master data models using data integration processes.
• Experience developing and implementing data quality improvement logic, e.g., maintenance, tuning and testing of match and merge rules.
• Experience working within a data governance framework, helping stakeholders understand their master data requirements and pain points, and helping establish effective governance structures and policies.
• Experience with leading teams in an Agile/Scrum setting is a big plus.
• Experience working and integrating the Snowflake cloud based lakehouse solutions is a big plus.
• Experience working with AWS and/or Azure SaaS infrastructure and CI/CD DevOps technologies, and extensive debugging experience.
• Experience working and integrating with Profisee MDM is a plus.
• Ability to operate at highly varying levels of abstraction, from business strategy to product strategy to high-level technical design to detailed technical design to implementation.
• Ability to work effectively in a fast-paced, complex technical environment.
• Experience driving for results across cross-functional teams while maintaining effective working relationships.
• Strong interpersonal, organizational, presentation and facilitation skills.
• Results oriented and customer focused with an ability to make successful trade-offs that balance short- and long-term product goals.
• High-energy, self-starter with a positive mindset and with a 'can do' attitude.

Nice-to-haves

• Experience with leading teams in an Agile/Scrum setting.
• Experience working and integrating the Snowflake cloud based lakehouse solutions.
• Experience working with AWS and/or Azure SaaS infrastructure and CI/CD DevOps technologies.
• Experience working and integrating with Profisee MDM.