Sunday, March 05, 2017

Director Data Engineering WWE Stamford

Job Description: • 2-minute read •
The Director (or Senior Director), Data Engineering will be the leader and subject matter expert that will define, implement, and govern the Information and Data Architecture strategy for WWE, specifically on designing and implementing the flow, transformation, storage, and visualization of consumer data. This role will be a key thought leader for evaluating new technologies and solutions and will partner with Data Analytics and other technology teams across WWE. Our environment is dynamic, fast-paced, and lots of fun.
Key Responsibilities:
Evaluate, recommend, and implement technologies for data ingestion, ETL, storage, and reporting
Manage data for accuracy, currency, and usage
Develop standards for naming, describing, governing, managing, modeling, storing, cleansing, transforming, searching, and delivering all consumer data within WWE, which includes methodologies, tools, governance, and conventions
Work with the Data Analytics team (Data Scientists, etc.) to translate business requirements to functional requirements and devise realistic plans to implement the same
Understand how the data relates to the current operations and the effect that any future process changes will have on the use of data in the organization
Work with team members and other technology groups to ensure all systems are scalable, optimized for performance, have full DR redundancy, and are secure
Qualifications:
5+ years of experience in enterprise data architecture
8+ years of experience architecting and supporting high-performance, highly-available and scalable Information Management solutions
Proven expertise in Relational and Dimensional Data Modeling
Strong understanding of cloud architecture, specifically AWS, as it relates to data processing (i.e., EC2, S3, Redshift, etc.)
Understanding of PII standards, processes, and security protocols
Experience leading and architecting enterprise wide initiatives, specifically system integration, data warehouse build, data mart build, data lakes, etc. for a large enterprise
Experience implementing and supporting Operational Data Stores, Data Warehouses, and Data Marts
Experience in leading Information Management related initiatives (system integration, data warehouse build, data mart build, or similar)
Experience with physical, logical, and conceptual data modeling
Experience with implementing data reporting and visualization tools (i.e. Cognos, Informatica, etc.)
Able to confidently express the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management
Bachelor degree in Computer Science (or related technical field) preferred
Relevant advanced degree a plus
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