Senior Data Governance Architect - Scale Data Quality & Compliance

Bayer

Creve Coeur (MO)

On-site

USD 124,000 - 180,000

Full time

13 days ago
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Benefits offered by this job

Health insurance
Retirement plan
Paid time off

Job summary

Bayer is seeking a Senior Data Governance Architect to design and maintain data architecture across multiple data types, enabling knowledge worker productivity and better customer experience. You will work with data engineers, scientists and external providers to ensure compliant, scalable data platforms and secure access controls.

The role emphasizes governing data foundations for responsible AI use, implementing end-to-end governance strategies, and delivering high-quality datasets for

Qualifications

  • Bachelor's Degree in Engineering, Computer Science, Information Systems or related field.
  • Background in supply chain, manufacturing or industrial operation in highly secure data environment.
  • Specific knowledge of Google BigQuery, Data Historian and Denodo/Data Virtualization.
  • QA experience within software or data development contexts.
  • Data architecture using SQL, Python, R, SAS, or other common languages.
  • Strong expertise in data governance, including policy enforcement, data quality standards, validation rules, lineage documentation, and relational data modeling across complex, multi-source environments.
  • Hands-on experience with ETL/ELT pipelines and deployment processes, supporting scalable, well-managed data infrastructure across environments.
  • Demonstrated strong oral and written communication, persuasiveness, and ability to communicate complex analytical approaches to all levels of business
  • Demonstrated innovative solutions and self-lead discoveries of new technologies
  • History of meeting tight deadlines and providing accurate estimates of time required to complete complex tasks

Responsibilities

  • Design and implement regional data governance, lineage, and quality assurance frameworks to ensure accurate, reliable, and compliant product supply data pipelines.
  • Design and drive implementation of end-to-end data governance strategies, validation frameworks, and data quality tracking systems across supply chain operations
  • Assist in the technical execution of enforcing data standards, lineage documentation, and relational integrity policies across warehousing and visualization assets
  • Implement and maintain QA processes across data pipelines to ensure accuracy, completeness, and reliability of production data
  • Contribute to scalable data architecture and build high-quality datasets and reporting solutions that meet cross-functional engineering and business needs.
  • Contribute to the design and development of data systems and architecture across a range of organizational initiatives, informing how data infrastructure is structured and scaled
  • Build and deploy datasets tailored to user requirements for visualization and reporting across multiple platforms, with strong emphasis on quality and relational integrity
  • Designs and governs data foundations that enable responsible, ethical and scalable use of artificial intelligence(AI), including generative and advanced analytics use cases.
  • Drive the development of reporting solutions and collaborate with engineers and stakeholders to define data reporting needs, gather requirements, and investigate gaps in existing solutions
  • Architect and support deployment and environment foundations to ensure consistent, production-ready data platforms.
  • Build and maintain a solid deployment infrastructure supporting the team's development and release workflows
  • Support CI/CD processes, deployment pipelines, and environment management across development and production systems
  • Translate complex data concepts into clear communication while partnering cross-functionally to identify data optimization opportunities that improve operational efficiency and value.
  • Communicate architecture standards for data quality and data governance.
  • Communicate complex data concepts and project status clearly to both technical and non-technical audiences
  • Work cross-functionally to identify data optimization opportunities that improve workflow efficiency and deliver value to operations across the region

Skills

BigQuery
Data governance
ETL pipelines
SQL
Python
Data architecture
Data quality
Communication

Education

Bachelor's Degree

Tools

Denodo/Data Virtualization
Data Historian

Job description

Bayer is seeking a Senior Data Governance Architect to design and maintain data architecture across multiple data types, enabling knowledge worker productivity and better customer experience. You will work with data engineers, scientists and external providers to ensure compliant, scalable data platforms and secure access controls.

The role emphasizes governing data foundations for responsible AI use, implementing end-to-end governance strategies, and delivering high-quality datasets for

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