Formulating and driving the data strategy to help drive modernization efforts from a data perspective
Working across business units and enterprise technology teams partnering with business leaders, architecture, and engineering to influence core and common strategy and deliver data capabilities
Requirements
BS or MS required
Demonstrated technology and personal leadership experience in architecting, designing, and building highly scalable transactional, analytical, and/or reporting applications
Ability to formulate data strategy, conceptual architecture and work with development teams to execute the strategy
Expertise in data management standard practices such as data integration, data security, data warehousing, data analytics, metadata management and data quality
Ability to evaluate, prototype and recommend emerging data technologies and platforms
Demonstrated experience developing enterprise applications and data solutions in the cloud – Azure/AWS
Experience architecting large complex systems with large volume and high-performance requirements
Strong understanding of Data Modeling concepts including 3rd normal form and dimensional modeling
Expertise in relational database technologies such as Oracle and Snowflake; cloud native databases such as Yugabyte DB and Cockroach DB; and NoSQL databases such as Aerospike
Expertise in programming languages such as SQL and Python, Java a plus
ETL experience on-prem and the cloud, preferred Python, Informatica and Snaplogic
Experience with data processing concepts such as Change Data Capture, Eventing, and Streaming technologies
Analytical reporting experience, preferably Snowflake and PowerBI
Understanding of cloud concepts, specifically resiliency, scalability, and performance from a data/database perspective