16183 - Data Warehouse Architect

Smith Johnson Tech

Lansing, Michigan

JOB DETAILS
SKILLS
Agile Programming Methodologies, Architectural Analysis, Automation, C++ Active Template Libraries (ATL), Cloud Computing, Continuous Improvement, Data Analysis, Data Management, Data Processing, Data Quality, Data Warehousing, Database Extract Transform and Load (ETL), Documentation, File Management, File Systems, IBM Product Family, IBM WebSphere DataStage, Identify Issues, Information/Data Security (InfoSec), Linux Operating System, Maintain Compliance, Master Data Management (MDM), Multiplatform/Cross-Platform, Performance Management, Performance Tuning/Optimization, Python Programming/Scripting Language, Quality Management, Refactoring, Relational Databases (RDBMS), Root Cause Analysis, SQL (Structured Query Language), System Migration, Systems Administration/Management, Unix Operating Systems, Unix Shell Programming, Validation Testing, XML (EXtensible Markup Language)
LOCATION
Lansing, Michigan
POSTED
Today

Work Model Hybrid


Seeking a Sr Data Warehouse Architect for a 6 month project. Must have 5+ years experience with ETL (specifically IBM DataStage). Also needs 5 years with Unix/Linux, 3 years with Master Data Management, and 1 year with Cloud Pak for data.


SUMMARY

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

 

  • 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

 

QUALIFICATIONS


Required:

  • 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

Preferred:

  • Previous Government experience

 

MANGER NOTES

  • In-Person interviews will be conducted July 20th and 21st
  • This is a 6-month project ending 02/10/2027. The person for this project will be supporting the migration of two IBM tools (from ATL DataStage to Cloud Pak)

 

This is a contract opportunity with a great organization. As a contractor for Smith Johnson, you are eligible for medical, dental, life, disability. Smith Johnson pays for 70% of your medical and dental and 100% of life and disability. The contract is also eligible for PTO/holiday accrued monthly. You are also eligible for a 3% retirement matching plan. Smith Johnson believes in taking care of our contractors. 

About the Company

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Smith Johnson Tech