Enterprise Data Architect

Job Description

Job Description

Responsibilities:

• An expert to deliver a world class data architecture to an enterprise that establishes robust data governance and enforces best practices, policies, and procedures across the entire data landscape on cloud or premises.
• 15 years of experience in designing data assets for extremely performant Operational Data Stores and near real time Data Warehouses. Well versed with industry standard Kimball and Inmon practices
• Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise.
• At least 15 years hands on experience with Data Modeling tool such as Erwin. Data Modeling experience in financial industry is highly preferred.
• Drive reuse of data and data models at all levels and establish standards to enforce and preserve single version of truth across the data landscape.
• Solid communication skills and be able to facilitate / lead Data Modeling sessions with partners including Business, IT (engineers and developers), BI (Business Intelligence), System of Record (SOR) SMEs etc. to assess business requirements and deliver design prototypes and models.
• Experience in event streaming and event-based data warehousing methodologies.
• Experience in modern data design methodologies such as DDD (Domain Driven Design), Microservices Based Architecture, Bounded Contexts, and Data Mesh building data warehouses for agility, scalability, and autonomy.
• 10 years of data analysis and profiling experience in financial services development, including