Data Warehouse Architect

1 week ago


Bengaluru, Karnataka, India Info Origin Inc Full time


We are looking for a talented and experienced Data Warehouse Architect to join our team. As a Data Warehouse Architect, you will be instrumental in constructing and maintaining our data warehouse infrastructure, focusing specifically on integrating data from Workday.

You will utilize your expertise in data warehousing, ETL development, and Workday technologies to create, develop, and implement strong data pipelines that cater to our data analytics requirements.


About the Ideal Candidate:

  • Proven track record as a Data Warehouse Architect or in a related position with a deep comprehension of data warehousing principles and top practices.
  • Extensive knowledge of Azure Data Factory (ADF) or SSIS for building data pipelines for Azure and on-premises SQL Server environments.
  • Proficient in XSLT development for data transformation purposes.
  • Vast experience with Workday Studio for generating reports and outbound integrations.
  • Solid grasp of data mapping techniques and the skill to convert data across different systems (Experience collaborating with business partners on data mapping is beneficial).
  • Familiarity with data vault or data mart modeling concepts is a plus.
  • Dedication to coding data pipelines following established standards and best practices.
  • Exceptional written and verbal communication abilities to effectively collaborate with both technical and non-technical stakeholders.
  • Capability to mentor and lead other team members on Workday technologies and data integration methods.
  • Demonstrated proficiency in completing HIPAA and PII compliance regulations training.

Key Responsibilities:

  • Plan, create, and deploy data pipelines through Azure Data Factory or SSIS to extract, transform, and load data from Workday into our data warehouse.
  • Create and manage Workday reports and outbound integrations using Workday Studio and XSLT.
  • Work with business partners to grasp data needs and map data between Workday and our data warehouse.
  • Ensure that data pipelines are sustainable, scalable, and comply with established coding standards.
  • Engage in discussions regarding data model design, potentially including data vault or data mart considerations.
  • Record data pipelines and procedures for potential reference.
  • Lead and support other team members on Workday technologies and best practices for data integration.
  • Keep informed about the latest developments in data warehousing, Workday technologies, and data security regulations.


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