Position: Data Architect/Data Modeler
Company: Skelia
Category: Data Engineer
Experience required: 5y
English level: intermediate

About the vacancy
Skelia welcomes an experienced Data Architect / Data Modeler to become a valuable member of the project team of our client, a leading company in the mining industry. You will be focused on building and deploying data products, concentrating on productization

About our client
Our client is a global mining company with a world-class portfolio of products that are used by a billion consumers every day. Our client relies on data and cutting-edge data science to enhance their operations. They also use advanced machine learning and artificial intelligence to optimize their processes.

Mission
- Create conceptual and logical data models through analysis of source data and interviewing subject matter experts (SMEs)
- Create data flow diagram
- Create dictionaries, taxonomies, and ontologies
- Update data governance, data catalogue, and data quality solutions
- Work with application developers to ensure that data model is aligned with application design
- Work with business data owners to achieve alignment on entity harmonization
- Work with business architecture to ensure that the data structures in place meet the business requirements

Technologies: ER/Studio Data Architect, Azure Analysis Services, Metadata Management, Azure Data Lake 

Requirements
- Bachelor’s Degree in Computer Science, Software Engineering or Engineering
- Expert in Data Modeling (Conceptual, Logical and Physical)
- Skilled in Data Profiling and Source System Analysis
- Experience in explaining and validating data models with stakeholders
- Hands-on experience in Data Modelling tools like ER/Studio Data Architect

Nice to have
- Knowledge of Semi Structured and Unstructured Data
- Knowledge of Azure Analysis Services
- Experience with Metadata Management including using a data catalogue; data quality definition and tooling; data governance
- Experience in cloud storage solutions such as Azure Data Lake Gen 2
- Experience of large-volume time-series data systems like OSISoft PI
- Systems development or data warehousing background, including the software development life cycle
- Experience with process control standards ISA 88 and ISA 95
- Experience with mining industry value chain processes

Location: Remote or Poland or Ukraine, Globally