Assessment and discovery to define enterprise architecture strategy roadmap
Lead and design best-in-class, conceptual data models leading to implementable solution designs across technical ecosystem
Guide planning of data movement and integration patterns across our ecosystem, defining integration standards, reference architectures and tool utilization
Provide leadership and standard methodologies for using native-first connectors over third-party for integrating our various workflows, applications and data
Support master data solution architectures, system landscapes, governance workflows, and systems integration and implementation
Collaborating with business stakeholders and technical teams to understand data management requirements, data quality remediation and challenges, and identify opportunities for the design of a best of breed solution
Produce relevant solution design artifacts including but not limited to technical estimates, conceptual system designs, sequence diagrams, and data models
Act as an advisor for new and emerging technologies, patterns, and trends What You'll Bring to the Role: Required:
13+ years of data architecture or integration architecture experience
Experience creating ETL and reverse-ETL patterns and services to handle data from various data sources, formats, and use cases
Demonstrable experience with enterprise-wide architectures, integration, warehousing and highly proficient with relational database design, data streams, data modeling, and SQL
Experience with streaming, batch and micro-batch data processing and workflows
Experience leading enterprise assesment, Data quality roadmaps, and implementation
Hands on experience in advanced SQL, Python, Spark and Azure Technologies
Ability to drive the practical evolution and innovation of infrastructure, processes, products and services by influencing decision makers, implementers, stewards, and owners of what direction should be taken
Should be Master communicator and able to lead team and solutionist problems
