Lead Data Architect
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Summary
Lead Data Architect who defines and maintains enterprise data architecture, standards, and data-movement patterns, and converts business requirements into technical specs. Requires 7+ years in data modeling/ETL using Erwin, PL/SQL, Oracle/SQL Server, and UNIX shell scripting. Hybrid role based in Iselin, NJ and Charlotte, NC.
Lead Data Architect needs 7+ years experience in Data Modeling, Data Reporting, Analysis, Mining, Design, Development, Data Migration, Implementation and Testing of Database
Lead Data Architect requires:
- Iselin, NJ & Charlotte , NC
- Hybrid
- Data architecture
- Good communication skills and good team player
- Experienced in Technologies like E-R Modeling for OLTP OLAP Multi-Dimensional Data Modeling techniques like Star Schema Modeling, Cube-processing, Snow-flake Dimension modeling, Fact and Dimension Modeling using Erwin Tool.
Having good knowledge in Normalization and De-Normalization techniques for optimum performance in relational and dimensional database environments.
Strong experience working with conceptual, logical and physical data modeling considering Meta data standards.
Experience in Financial services and other domains using Data Modeling, Extraction, Transformation, Loading reporting processes.
Experience in Data transformation and Data mapping from source to target database schemas and also data cleansing.
Experience in performance analysis and created partitions, indexes and Aggregate tables where necessary.
Work experience with UNIX operating system, Shell scripting and Automation of ETL process.
Experience in writing, testing, and implementation of the triggers, stored procedures, views, cursors, packages, functions at Database level and form level using PL/SQL.
Knowledge in business intelligent software ,Export Import, Performance Tuning of Database, Backup and Recovery, SQL Loader.
Experience in integration of various data sources like Oracle, SQL Server, Oracle, MS Access, and Flat files into the staging area.
Lead Data Architect duties:
- Define and maintain data architecture based on business and data strategy
- Define and maintain reference architecture for enterprise data assets and processes
- Define standards and enterprise patterns for data movement/data processing
- Work with different business stakeholders and convert business requirements to technical specifications
- Engage with enterprise architecture team and define optimal solutions for existing problems
- Research on next-gen and emerging technologies and determine/document/recommend optional solutions
- Good communication skills and good team player