Data Warehouse Architect - Lansing, Michigan

Lansing, MI, US • Posted 2 hours ago • Updated 16 minutes ago

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Job Details

Skills

Management
Analytical Skill
Forms
Extract
Transform
Load
KPI
Data Management
Data Marts
Data Warehouse
Dashboard
IBM SmartCloud
Migration
IBM InfoSphere DataStage
Cloud Computing
IBM
Data Architecture
Data Quality
Lifecycle Management
Communication
Collaboration
Business Analytics

Summary

Job Description Data Warehouse Architect Lansing, Michigan 6+ Months

Job Responsibilities: The position develops Information Services needs as well as evaluating, recommending and supporting technological solutions and Data Management architecture and software. They work closely with agency customers and IT teams to turn data into critical information and knowledge that can be used to make sound business decisions. It is essential that the ETL developer build an understanding of the business at a level of detail that enables them to identify and address critical business issues. They manage data that is accurate, congruent and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems. The ETL developer educates and trains clients to use the data as an analytical tool, displaying the information in new forms and content for the purpose of analysis and option exploration. The ETL developer works with clients to determine business requirements, priorities, define key performance indicators (KPI), and develop Data Warehouse (DW) and Data Management strategy. This includes working with business and IT development teams to design and implement enterprise data lakes, data marts, data warehouses and design and implement dashboards, alerts, and business analytics solutions and reports. Required Qualifications:

5+ years of hands on experience with IBM Cloud Pak for Data
5+ years of hands on experience with IBM Knowledge Catalog, including enabling and supporting the migration of existing IBM DataStage workloads to Cloud Pak for Data
5+ years of hands on experience with IBM Manta
Experience defining and enforcing data architecture standards, patterns, and best practices
Ability to translate business requirements into scalable data architecture solutions
Experience working in large, complex, enterprise environments with multiple data sources
Strong understanding of data quality, data consistency, and data lifecycle management
Excellent communication skills, with the ability to collaborate across business, analytics, and IT teams

Preferred Qualifications:

Previous State of Michigan experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91022079
Position Id: 2026-47897/575072
Posted 2 hours ago

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