Requirements: English
Company: B2Bnetwork
Region: Warsaw , Masovian Voivodeship
Were looking for a Data Architect to join our Informatics team and play a key role in our Commercial Transformation program a long-term strategic initiative aimed at modernizing the way we approach sales, marketing, and customer engagement.
The goal is to move away from fragmented, legacy data systems (such as PULSE) and establish a modern, integrated, data-driven approach. We are building a future-proof environment based on the principles of Data Mesh and Data Product Thinking, powered by our enterprise-grade Data One Platform.
Good organizational, analytical & consulting skills
Knowledge about Data One Platform (Snowflake)
Familiar with Data Vault Concept and Design
Ability to convert current PULSE (Experience and Knowledge about PULSE is a plus) As Is to Data Vault Design using Snowflake, Immuta, Collibra, Cloud security
Ability to understand the various technologies in the complex landscape and the analytical capabilities of these technologies
Experience as a Data Engineer and Data Architect
Good understanding of Data and Analytics Architecture patterns
Proficiency in data transformation, with a preference for SQL/Python, Snowflake and dbt
Come up with Architecture options for the various use cases in the beginning and constantly revisit and refine this to match organization''s technology landscape and capabilities
Introduce effective and practical technical governance
Lead discussions with the various internal stakeholders of analytics and reporting platforms and Aspire Analytics and Reporting and bring all of them into alignment on the Architecture options and Data Products that the Contract Monitoring and Insights needs.
Able to coach and guide the development team through the various sprints to ensure that the development meets the architecture patterns and the outcomes for the project.
Ability to be flexible and wear different hats to keep things moving in an environment where things are still shaping up
Define, enforce and apply data engineering practices and standards to develop robust and maintainable data pipelines
Support senior business stakeholders in defining new data product use cases and their value
Explore ways to enhance data quality and reliability, be the "Quality Gatekeeper" for developed Data Products
Be constantly on the lookout for ways to improve best practices and efficiencies and make concrete proposals.
Be flexible and take on other responsibilities within the scope of the Agile Team