You will be a member of the Enterprise architecture team responsible for ensuring that applications developed or procured has data governance considerations baked into it. The end result of your effort will be applications that have lineage built into them to ensure minimal duplication of data and having a canonical data warehouse that simplifies management from an enterprise standpoint.
Knowledge of Enterprise Architecture Fundamentals; exposure to Reference Enterprise Architecture
Ability to understand how the data relates to the current operations and the effects that any future process changes will have on the use of data in the organization.
Ability to translate business needs into architecture requirements.
Ability to maximize the data resources by reducing redundancy, enabling accessibility within security boundaries, fostering corporate understanding of the meaning of the data (meta data management).
Must be able to understand and communicate the data requirements of any future infrastructure needs, working with the IT architects to develop an approach that fits the current and planned needs of the organization.
Ability to develop standards for naming, describing, governing, managing, modeling, storing, cleansing, transforming, searching and delivering ALL data within the enterprise.
Experience in data ingestion, data integration, data quality, data profiling and data conversions.
Able to work with an enterprise architects to adhere to the latest development standards of the enterprise.
Excellent skills in data management, data modeling, data services, reporting, and analytics as well as the tools used to support these areas.
Knowledge of data management tools such as Informatica BDM, EDC, AVON, BDQ, etc.
Nice to Have:
Ability to rationalize data architecture design for new and legacy software applications platforms.
Define data standards / reference architectures for use by project teams in developing technical designs.
Prior experience in working with data governance team members across multiple projects.
Knowledge of industry standards for baseline data models and translate them into use case development framework.
Deliver well-defined data design documentation and data models that guide and inform project streams
Define performance and scalability requirements and validate based on performance and scalability testing.
Perform technical design reviews to ensure vendors deliver be-spoke capabilities that wouldn’t result in a high level of technical debt in the data domain.
Work closely with various teams to establish and validate data design requirements.
Work collaboratively with and across multiple development teams to align data architecture.
Define and develop a data migration or bridging strategy for existing legacy systems that need to migrate to.
EA License No: 18S9405 Reg No: R1330864
Skills & Competencies
Enterprise Architecture Fundamentals,Reference Enterprise Architecture
Number of Vacancies:2
Minimum Years of Experience:10