Data Architect

Mindbox S.A.

B2B:

26 000,00 - 32 000,00 PLN / mies. Netto

Lokalizacja: Kraków, Polska

Mindbox S.A.

Dodane: 14.10.2024

Wynagrodzenie do ustalenia

Wiele lokalizacji

Dodane: 14.10.2024

Wynagrodzenie do ustalenia

Wiele lokalizacji

Dodane: 14.10.2024

Wynagrodzenie do ustalenia

Wiele lokalizacji

Ensure smooth data integration and flow across various platforms and systems, including integration of data sources into data refineries for analysis and reporting.
Ensure that the data architecture and models support real-time, near-real-time and batch data processing where needed.
Develop and implement best practices for data modelling, including naming conventions, documentation, and version control.
Create and maintain comprehensive documentation, including Solution Design Documents, entity-relationship diagrams and data dictionaries.
Develop logical, physical, and conceptual data models to meet business requirements.
Provide training and support to other teams in understanding, using and implementing data models and architecture.
Collaborate with business analysts and application teams to gather and understand data requirements.
Create clear and effective data models and architectures, ensuring alignment with the overall data architecture and project goals.
Ensure data models maintain high standards of data integrity, accuracy, and consistency.
Ensure that architectures and models are reviewed and approved at the appropriate forums.
Architect scalable and secure data solutions as required.

Familiarity with ETL processes and data integration tools.
Strong understanding of database systems, including relational (SQL) and non-relational (NoSQL) databases.
Demonstrable experience in data architecture and data modelling.
Strong analytical and problem-solving skills
Experience with cloud-based (GCP, AWS, Azure), on-prem and hybrid data architectures and solutions.
A track record of successful refactoring / tech-debt remediation projects.
Financial Services domain knowledge with practical experience of mobilizing technology to meet the market dynamics effecting the financial services domain (Risk / Cost / Customer).
Consultancy / customer facing experiences within a software vendor or enterprise scale services environment.
Exposure or experience of big data and big data technologies.
Proficiency in data modelling tools such as Visual Paradigm.
Ability to collaborate with technical and non-technical teams.
Excellent communication and documentation abilities.

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Mindbox S.A. Data Architect

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