Datawarehouse Architect/Sr Microstrategy Developer

Specific Experience:

Must possess 9-13 years related experience. Must have 7 years of systems analysis experience in a data warehouse environment using MS tools (MS Word, Excel, PowerPoint, and Project) and at least 3 years of recent hands-on architecting data warehouse solutions.

Prefer experience implementing solutions in AWS Glue, MicroStrategy (2019 or higher), Oracle (10g or higher), and Redshift environment with a strong background in SQL commands/ functions/ Procedures and database data modeling tools similar to Erwin, source to target mapping tools similar to Erwin Mapping Manager.

Responsibilities

Gathers information from existing systems, analyzes program and time requirements. Provides technical advice on complex programming. Writes and prepares detailed specifications for programs at all levels of complexity.

Designs systems and programs to meet complex business needs including enhancements to existing programs. Ensures programs meet standards and technical specifications. Performs technical analysis and component delivery. Supports project personnel in resolving complex program problems.

Conducts quality assurance activities such as peer/code reviews.

Works with all technical areas to resolve issues and validate programming requirements. Enhances processes where applicable.

Ability to derive the pseudo code on metric calculations that can be used by the SDLC teams for Design, Development, and testing. Perform Gap and Impact analysis on any type of source changes and/or requirement updates.

Ability to write complex SQL queries to perform analysis on complex and large sets of data in various file formats.

Provides technical advice on complex data warehouse scenarios. Experience in AWS Glue is required to understand the data flow from source to Data warehouse by reading the existing complex ETL mappings. Experience with MicroStrategy BI tool is advantage.

Leads data analysis, database design, develop Logical and Physical Data Models, including Relational and Dimensional Models.

Develop Design Logic for the data transformation from Source to Target; prepare Mapping documents with all the transformation logics, BI Objects, Data Quality Rule creation/ enforcement, etc.

Write DDL script to create/update database structures supporting Oracle and Redshift either manually or through Erwin, ability to tune database performance.

Analyzes multi-data mart system integration opportunities and challenges. Proposes and communicates recommended solutions. Recommend testing methodologies for the proposed design.

Works individually and with peers to perform metadata management across Erwin, Oracle, Redshift, AWS Glue and MicroStrategy.

Develops, documents, and maintains data architecture-related standards and documentation.