DataStage Architect - Enterprise ETL & Data Warehouse

Ask IT consulting

Lansing (MI)

On-site

USD 110,000 - 170,000

Full time

14 days+
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Job summary

Ask ITC Inc. seeks an experienced Data Architect to design and implement ETL strategies for staging, warehouse, and data marts. You will define reference architectures, collaborate across IT and business units, and ensure scalability and governance across data pipelines.

Responsibilities include building high-quality, documented ETL solutions, planning implementations, identifying dependencies, and guiding enterprise data acquisition and transformation initiatives for data assets.

Responsibilities

  • Design and architect ETL strategies to support staging, warehouse, or data marts.
  • Develop implementation plans estimating duration and identifying dependencies.
  • Collaborate across Information Technology areas and business areas to ensure data artifacts meet requirements of upstream and downstream claim processing needs.
  • Ensure all artifacts comply with enterprise standards and governance.
  • Design, build and deploy high quality, performance, integrated, and documented ETL solutions while following established standards.
  • Conceptualize, analyze, develop, and deploy strategies for data acquisition, transformation, and loading on an enterprise level.
  • Identifies key drivers of a defined problem and proposes solutions.
  • Serves as an expert resource on matters of data architecture, design in all phases of data warehouse and data mart development, implementation and support.

Job description

Ask ITC Inc. seeks an experienced Data Architect to design and implement ETL strategies for staging, warehouse, and data marts. You will define reference architectures, collaborate across IT and business units, and ensure scalability and governance across data pipelines.

Responsibilities include building high-quality, documented ETL solutions, planning implementations, identifying dependencies, and guiding enterprise data acquisition and transformation initiatives for data assets.

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