You will own the design and implementation of the enterprise data architecture.
Responsibilities
Create and implement the data strategy roadmap covering the Enterprise Data Warehouse, Data Marts, Operational Data Stores, Metadata, Master Data, and Big Data (Data Lake, Data Lakehouse).
Design conceptual and logical data models and flowcharts reflecting the enterprise data architecture.
Collaborate with ETL, Datawarehouse, and Reporting teams to ingest data from internal and external sources while implementing data quality measures.
Establish standards and policies with cross-functional teams (security, legal) to classify, secure, and protect enterprise information assets.
Optimize Oracle database systems for performance in collaboration with Database Administrators.
Required Skills
10+ years' experience architecting on-prem and cloud-based enterprise data solutions.
Expertise architecting and delivering end-to-end data solutions (Data Warehousing, Analytics, BI, Big Data, ODS, Metadata, Master Data).
Expertise in designing, building, and managing Enterprise Data Warehouse and Business Intelligence (BI) platforms.
Knowledge of data process modelling for enterprise and business function-specific data architecture (conceptual, logical & physical).
Knowledge of data governance frameworks and developing Enterprise Data Management (EDM) frameworks.
Familiarity with data visualization tools such as Tableau, PowerBI, and Cognos Analytics.
Knowledge of technology platforms including MuleSoft and IBM DataStage.
Knowledge of data management concepts for structured, unstructured, batch, and real-time integrations.
Solid knowledge of general data integration and conversion scripting and workflow development.