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Data Warehouse Architect 3

Lansing, MI, US • Posted 1 hour ago • Updated 1 hour ago

Contract Independent

Contract W2

Contract Corp To Corp

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

ETL Developer
ETL Architect
Data Warehouse Architect
Data Integration
IBM DataStage
IBM Cloud Pak for Data (CP4D)
Cloud Pak for Data
ETL Development
ETL Pipelines
Data Pipeline Development
Data Migration
Data Modernization
Data Transformation
Data Warehouse
Data Engineering
IBM InfoSphere DataStage
Parallel Jobs
Server Jobs
Job Sequencing
ETL Performance Tuning
SQL
Advanced SQL
Python
XML
Shell Scripting
Unix
Linux
Master Data Management (MDM)
Data Quality
Data Governance
Relational Databases
Agile
SDLC
Root Cause Analysis
Data Validation
Enterprise Data Solutions
State Government

Summary

Role: IT - CSS - EICIM - ETL – Data Warehouse Architect 3

Location: Lansing, MI

Duration: 12 Months

Description:

The ETL Developer is responsible for designing, developing, and maintaining high‑quality data integration solutions using IBM DataStage and related technologies. This role supports both on‑premise and cloud environments, contributes to enterprise data modernization efforts, and plays a key role in migrating DataStage workloads to IBM Cloud Pak for Data (CP4D). The developer will collaborate with technical and business teams to deliver reliable, scalable, and secure data pipelines aligned with organizational objectives.

Responsibilities and Technical Skills

Develop, enhance, and optimize ETL pipelines using IBM DataStage, including parallel and server jobs, job sequencing, and performance tuning.
Support the migration of on‑premise DataStage jobs to IBM Cloud Pak for Data (CP4D), including code refactoring, testing, validation, and workflow modernization.
Use Python and XML to automate processes, perform data transformations, and integrate automation into ETL workflows.
Work extensively in Linux/Unix environments to write shell scripts, manage file systems, monitor processes, and troubleshoot runtime issues.
Apply Master Data Management (MDM) principles to ensure data quality, governance, and consistency across enterprise systems.
Develop complex SQL queries for data extraction, transformation, validation, and performance improvement across relational database platforms.
Work within Agile teams to support sprint activities, deployments, documentation, and continuous improvement practices.
Collaborate with data architects, analysts, DBAs, and business users to ensure successful and accurate delivery of data solutions.
Troubleshoot ETL issues, perform root‑cause analysis, recommend improvements, and ensure adherence to data standards and security policies.

Required Skills

5+ years of experience ETL (IBM DataStage) - Required
1+ years of exposure to Cloud Pak for data - Required
5+ years of experience with Unix/Linux
3+ years of experience with Master Data Management

Desired Skills

Previous Government 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: 91093837
Position Id: 8619-19746-
Posted 1 hour ago

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