Resume » Technology Resume » Enterprise Data Architect Resume Enterprise Data Architects plan and develop enterprise data architecture, database structures or solutions and related data standards to meet business needs. They perform data analysis, data modeling, data warehousing, database management, and data integration as well as provide troubleshooting and technical support. If you are really interested to work for this profile, you will need an effective enterprise data architect resume that highlights your work experience and skills in the best way possible. The resume must highlight your expertise in enterprise data architecture, management of structured and unstructured enterprise data, data warehouse and database development, data modeling, business and system analysis, data migration and integration, ETL strategies, data governance, enterprise security policies and procedures, backup and recovery methods, troubleshooting enterprise data issues, data visualization tools as well as SQL and Oracle databases. To increase your chances of getting an interview call, display exceptional communication, analytical thinking, problem-solving, team-working, multi-tasking and time-management skills.
OBIEE – Architecture
Sample Resume for Enterprise Data Architect
In sightful professional with notable success in directing a broad range of corporate IT initiatives, while participating in yearly. Diligent and self motivated solution architect with expertise in driving product vision and product road mapping across various. Forward focused Project Manager with expertise in concepts of end to end project planning and implementation from scope. URS document and handling the design, development, testing and deployment business intelligence, data warehouse and.
Enterprise Data Architect Resume Sample
Hands on experience in installation, configuration, supporting and managing Hadoop Clusters using, Cloudera and Hortonworks. Hands-on experience with Hadoop cluster Designing, Implementation, configuration, Administration, debugging, and performance tuning. Excellent understanding of Hadoop Cluster security and implemented secure Hadoop cluster using Kerberos, Knox and Ranger. Maintain, support, monitor and upgrade all Hadoop environments including configuration, access control, capacity planning, permissions and security patches to ensure continuity to all Hadoop environments.
The requirement to respond quickly is by effective and efficient use of data and information. Once data is stored in a data warehouse, it can be accessed for analysis. The term "Data Warehouse" was first invented by Bill Inmon in Ralph Kimball provided a definition of data warehouse based on its functionality.