Data Architect

EDGILENT CORP

Chicago, IL

JOB DETAILS
SKILLS
Analysis Skills, Apache Hadoop, Application Framework, Best Practices, Business Intelligence, Cloud Computing, Data Analysis, Data Management, Data Mart, Data Mining, Data Modeling, Data Sets, Data Warehousing, Data Warehousing Applications, DataArchitect Data Modeling Tool, Database Administration, Database Design, Database Extract Transform and Load (ETL), Database Optimization, Dimensional Modeling, Executive Recruiting, Field Sales, Functional Analysis, Healthcare, Industry Standards, Informatica, Information Models, Microsoft SQL Server, Model Validation, Multiplatform/Cross-Platform, Query Optimization, Relational Databases (RDBMS), Requirements Management, SQL (Structured Query Language), SQL Databases, Sales Management, Snowflake Schema, Software Development, Star Schema, Technical/Engineering Design, Test Design, Test Plan/Schedule, Thought Leadership, eCommerce
LOCATION
Chicago, IL
POSTED
30+ days ago

Vertical Trail recently acquired Edgilent which has been integrated in to Vertical Trail as our Technology Services division. We have an exciting opportunity to add to our sales team and are currently hiring Account Executives in the Chicago and Twin Cities areas. The Account Executive is a key outside sales role responsible for driving new account and existing client growth through placement of contract IT resources for Edgilent a division of Vertical Trail. The areas of resource competency include application development e-commerce data management analytics and cloud migration consultants with levels of experience ranging from senior technical architects to engineers designers and testers.Create cutting-edge data architecture and data model solutions for multiple data platforms collaborate with business subject matter experts in healthcare industries establish and drive data architecture and data modeling thought leadership.The focus of this position will be on defining and promoting best practices in ETLData architecture and data modeling by collaborating with data intake team DBA and developers to provide sound data framework for applications easy data access for analysts on multiple data platforms Vertica SQL Server. This role will be responsible for creating and maintaing enterprise wide data dictionary datamodel and data architecture artifacts.Position involves rapidly developing dimensional models or analytical data sets based on specific business requirements. Experience in ER - dimensional model design and implementation of STAR and SNOWFLAKE schemas is a must. Strong foundation in industry standard SQL and Data Warehousing design concepts is required. Experience with BI and Informatica ETL is required. Experience with advanced analytics Vertica Hadoop data mining is a very big plus.Skills -Analyzing functional and non-functional business requirements and translate into technical data requirements and create or update existing logical and physical data models-Creating data logical and physical data models and refining as necessary-Facilitating data modeling sessions ranging from information gathering to model validation-Creating the data architecture sections of the overall system design artifact-Analyzing data access and modification requirements to ensure SQL and optimal DB design-Reverse and Forward Data Modeling-DB Design of Relational structures along with data warehouses data marts and data miningExperience-At least 10 year experience in combined experience in data warehousing BI and application development.-At least 5 year hands on experience designing and implementing Star Schemas -At least 5 year experience implementing DW presentation layer - including design and definition of logical tables physical sources dimensions columns aggregation rules -At least 5 year experience in writing advanced SQL queries views and optimization of SQL queries -Comprehensive Knowledge of Ralph Kimballs Data Modeling Concepts including Transaction dimensions conformed dimensions and facts slowly changing dimension multi-Star Snowflake Schema Modeling different types of Fact tables -At least 2 year hands on experience with 3NF Data Modeling and NORMALIZED schema -Comprehensive Knowledge of Bill Inmons Data Modeling Concepts Logical and Physical including 3NF Supertypes Subtypes Abstraction Associative entities tables

About the Company

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EDGILENT CORP