Enterprise Data Architect

2 dni temu

Kraków, Lesser Poland ENGINEERINGUK Pełny etat
Job Description

As an Enterprise Data Architect, you will play a key role in designing and implementing data warehouse solutions that drive business growth and improve decision-making. You will work closely with cross-functional teams to identify business needs and develop data strategies that meet those needs.

Your primary responsibilities will include:

  • Designing and documenting ingestions from existing sources.
  • Collaborating with Principal Data Designer to design and document ingestions from new sources.
  • Working with stakeholders and data platform teams to create designs that meet or exceed requirements, comply with principles, and deliver accurate and timely supporting documentation.
  • Staying up-to-date with the latest data design principles and contributing to improvements to ways of working and documentation templates.
  • Peer reviewing colleagues' designs to ensure they meet requirements and principles.

You will be responsible for understanding and documenting enterprise data warehouse data designs, identifying data sources, detailing how source data is ingested into the data platform, and defining data mappings and data models. You will also play a key role in specifying data harmonization requirements, calculations, derivations, and transformation logic.

This position requires strong attention to detail, excellent communication skills, and the ability to work collaboratively in an agile development process. You will engage with key stakeholders inside and outside of your area to make design decisions and support the wider design team by asking questions and offering suggestions during design review sessions.

To succeed in this role, you will need:

  • Data modelling for enterprise data warehouses.
  • Ability to work constructively with team and wider network to achieve deliverables.
  • Gathering and documenting information as guided.
  • Understanding deliverables and focusing on what is important.
  • Experience with querying and transforming data using complex SQL, conducting basic data profiling and analysis, modelling data into simple facts and dimensions, and identifying basic data quality rules.

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