Gfi Data Analytics Data Architect

**GFI Data Analytics Data Architect**

Why Bayer?

“Health for all and Hunger for none” is our mission at Bayer. Every day, we are privileged to work on purposeful cutting-edge projects to bring our mission to life. Join us at Bayer to have a career that you can put your passion into practice and make an impact using Science for a better life.

For our Global Data Analytics Team for Finance, we are looking for:
A **Data Architect** who will support to build and maintain the company data infrastructure and work with the IT data administrators and our Data analysts to secure easy access to the company data.

**You will be responsible for**:

- Support the definition of the strategy and engineering guidelines for major data platforms, together with the Data Analytics Global Process Owner for financial data.
- Architect and Build an infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using various state of the art and big data technologies
- Guide the Data Scientists in the Data Analytics Team to build tools and services to ensure positive user experience across the data supply chain
- Support the Data Analytics team and Core Group in terms of strategic guidelines, and knowledge pipeline maintenance.
- Build and maintain governance around analytics processes to install standards and ensure best practices in modelling and analytics engineering
- Build services and tools to make data more accessible to all data consumers (tools such as searchable metadata, API gateway)
- Build semantic data layers and knowledge graphs using fit-for-purpose methodology and technologies to make core data structures that have already been discovered findable, accessible, and reusable in an efficient way to for Data experts and Business contacts.
- Develop automation, operation, installation, and monitoring of data science ecosystem components to scale and make the analytics practices efficient and repeatable

**We would expect from you**:

- Bachelor’s degree in computer science, management information systems, or a related discipline
- Excellent English skills encompassing special terminologies in the area of Finance and IT.
- Expert in data architecture development, data asset management, data modelling, and linked data concepts as well as data taxonomy creation
- Strong capability to manage implementation and maintenance of data architecture concepts and related platforms and data pipelines
- Must be able to draw insights from structured and unstructured data
- Excellent verbal and written communication skills
- Ability to challenge and convince the various stakeholders involved in any project
- Ability to perform business domain analysis and business process modelling
- SQL Database, data modeling, normalization/denormalization knowledge and rules, ETL, ELT & data pipelines knowledge. Transformation and data cleansing activities
- Analytics
- Pattern recognition knowledge
- EDA analysis experience
- Statistics knowledge
- Data visualization on complex topics & ideas. Tableau/Power BI knowledge.
- Good understanding of CORS and communication protocols, CSS, HTML, JS, Design of Restful APls
- SQL, Python, JS/Node/TS.
- AWS/Azure experience, GIT repository
- Full stack development experience

Why Bayer?

“Health for all and Hunger for none” is our mission at Bayer. Every day, we are privileged to work on purposeful cutting-edge projects to bring our mission to life. Join us at Bayer to have a career that you can put your passion into practice and make an impact using Science for a better life.

For our Global Data Analytics Team for Finance, we are looking for:
A **Data Architect** who will support to build and maintain the company data infrastructure and work with the IT data administrators and our Data analysts to secure easy access to the company data.

**You will be responsible for**:

- Support the definition of the strategy and engineering guidelines for major data platforms, together with the Data Analytics Global Process Owner for financial data.
- Architect and Build an infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using various state of the art and big data technologies
- Guide the Data Scientists in the Data Analytics Team to build tools and services to ensure positive user experience across the data supply chain
- Support the Data Analytics team and Core Group in terms of strategic guidelines, and knowledge pipeline maintenance.
- Build and maintain governance around analytics processes to install standards and ensure best practices in modelling and analytics engineering
- Build services and tools to make data more accessible to all data consumers (tools such as searchable metadata, API gateway)
- Build semantic data layers and knowledge graphs using fit-for-purpose methodology and technologies to make core data structures that have already been discovered findable, acce