Lead IBM DataStage Consultant with Cloud Pak for Data (CP4D)

  • Detroit, MI
  • Posted 18 hours ago | Updated 18 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

IBM DataStage
Cloud Pak for Data (CP4D)
AWS Glue (PySpark)
AWS Lambda
Snowflake

Job Details

Job Title: ETL Lead with IBM DataStage experienced

Location: Detroit, MI

About the Role

We are seeking a highly experienced ETL Lead to design, lead, and optimize enterprise data integration workflows using IBM DataStage on Cloud Pak for Data (CP4D), AWS Glue & Lambda, and Snowflake. The ideal candidate will drive modern data transformation strategies for large-scale data ingestion pipelines supporting analytics, governance, and AI/ML workloads.

Key Responsibilities

  • Lead the end-to-end design and implementation of ETL workflows for structured and semi-structured data from various sources (SFTP, DB2, Oracle, APIs).
  • Architect and maintain data ingestion and transformation pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda functions.
  • Optimize data load performance and manage large data volumes with effective partitioning, incremental loads, and error handling.
  • Collaborate with cloud engineers and data modelers to ensure data is curated for consumption in Snowflake (Silver/Gold/Platinum layers).
  • Ensure data lineage, metadata management, and data quality in compliance with enterprise data governance standards.
  • Partner with governance teams to ensure integration with Collibra, or other metadata and privacy tools.
  • Support CI/CD integration, parameterization, and version control of ETL code via Git and DevOps pipelines.
  • Lead and mentor a team of onshore/offshore ETL developers; establish best practices and code review processes.
  • Troubleshoot production ETL issues and participate in on-call rotations as needed.

Required Qualifications

  • 8+ years of enterprise data integration experience with at least 3+ years as a technical lead.
  • Strong expertise in IBM DataStage, including modern deployments on Cloud Pak for Data (CP4D).
  • Solid experience with AWS Glue (PySpark) and AWS Lambda for scalable, serverless data transformation.
  • Proven knowledge of Snowflake data warehousing, including external stages, streams, tasks, and performance tuning.
  • Experience with complex ETL orchestration involving parallel processing, dynamic parameterization, and error handling.
  • Strong SQL, Python (preferred for Glue), and performance tuning skills.
  • Understanding of data lakehouse architectures, S3, and ingestion patterns (batch/real-time).
  • Familiarity with data governance and lineage tools (e.g., Collibra, BigID, Manta).
  • Knowledge of CI/CD, Git, Jenkins, and code promotion strategies.
  • Strong verbal and written communication skills; experience working in agile/scrum delivery model.

Preferred Qualifications

  • IBM DataStage CP4D certification
  • AWS Certified Data Analytics or Solutions Architect Associate
  • Snowflake SnowPro certification
  • Experience working in regulated industries (e.g., financial services, utilities, healthcare)
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