Data Architect Databricks
⚲ Warszawa, Gdańsk, Kraków
30 000 - 38 000 PLN netto (B2B)
Wymagania
- Databricks
- Data
- Azure
- AWS
- GCP
Opis stanowiska
We are looking for a Data Architect with strong Databricks expertise to join a project for a large banking institution.
The role focuses on designing and implementing modern data platforms, supporting Databricks adoption and migrations, and preparing the organization for future Machine Learning and AI initiatives.
Your responsibilities
• Design and develop enterprise-scale data architecture based on Databricks
• Support the implementation and adoption of Databricks within large organizations
• Lead or support data platform migrations to Databricks
• Define architecture standards, data flows, integration patterns and best practices
• Work closely with Data Engineering, Data Science, ML/AI and business teams
• Assess existing data environments and define target architecture
• Prepare data platforms and organizations for Machine Learning and AI initiatives
• Ensure scalability, security, governance and data quality
• Collaborate with architecture and technology teams within a large banking environment
• Provide technical guidance and support architectural decisions
Requirements
• Experience as a Data Architect
• Strong experience with Databricks
• Experience implementing Databricks in organizations
• Experience with migrations to Databricks
• Experience working in the banking / financial sector
• Experience working with large-scale enterprise organizations
• Strong understanding of modern data architecture and data platforms
• Experience preparing data environments for ML and AI initiatives
• Good understanding of data governance, security and scalability
• Strong communication skills and ability to work with technical and business stakeholders
• English – minimum C1
Nice to have
• Experience with cybersecurity-related projects
• Experience with Azure, AWS or GCP
• Knowledge of modern Data Lakehouse architecture
• Experience with regulatory and security requirements within financial institutions
The role focuses on designing and implementing modern data platforms, supporting Databricks adoption and migrations, and preparing the organization for future Machine Learning and AI initiatives.
Your responsibilities
• Design and develop enterprise-scale data architecture based on Databricks
• Support the implementation and adoption of Databricks within large organizations
• Lead or support data platform migrations to Databricks
• Define architecture standards, data flows, integration patterns and best practices
• Work closely with Data Engineering, Data Science, ML/AI and business teams
• Assess existing data environments and define target architecture
• Prepare data platforms and organizations for Machine Learning and AI initiatives
• Ensure scalability, security, governance and data quality
• Collaborate with architecture and technology teams within a large banking environment
• Provide technical guidance and support architectural decisions
Requirements
• Experience as a Data Architect
• Strong experience with Databricks
• Experience implementing Databricks in organizations
• Experience with migrations to Databricks
• Experience working in the banking / financial sector
• Experience working with large-scale enterprise organizations
• Strong understanding of modern data architecture and data platforms
• Experience preparing data environments for ML and AI initiatives
• Good understanding of data governance, security and scalability
• Strong communication skills and ability to work with technical and business stakeholders
• English – minimum C1
Nice to have
• Experience with cybersecurity-related projects
• Experience with Azure, AWS or GCP
• Knowledge of modern Data Lakehouse architecture
• Experience with regulatory and security requirements within financial institutions
🔍 Dekoder Ogłoszenia
🔴
preparing the organization for future Machine Learning and AI initiatives
Może oznaczać, że obecna infrastruktura jest daleka od gotowości na ML/AI, a Twoja rola będzie polegać na nadrabianiu zaległości.
🔴
Design and develop enterprise-scale data architecture based on Databricks
Może oznaczać projektowanie od zera lub znaczącą przebudowę istniejącej, potencjalnie przestarzałej architektury.
🔴
Support the implementation and adoption of Databricks within large organizations
Może oznaczać, że będziesz musiał przekonywać i szkolić wiele zespołów, które mogą być oporne na zmiany.
🔴
Assess existing data environments and define target architecture
Może oznaczać, że będziesz musiał pracować z bardzo złożonym i potencjalnie chaotycznym stanem obecnym.
🔴
Collaborate with architecture and technology teams within a large banking environment
Może oznaczać pracę z wieloma interesariuszami, co może prowadzić do długich procesów decyzyjnych i kompromisów.