Data Architect Remote, REMOTE


  • Possess over 10 years of professional experience in the Data & Analytics domain.

  • Have at least 2 years of experience in an Architect or Senior Consultant role, with a focus on Azure data solutions.

  • Demonstrate a strong understanding of business processes and the ability to drive automation through effective management.

  • Possess advanced or expert-level knowledge in architecture, application design, systems engineering, and integration.

  • Have exposure to various technologies and processing environments.

  • Hold a Bachelor's degree in computer science, information technology, or a related field; a Master's degree is advantageous.

  • Exhibit proven experience as a Cloud Data Architect, particularly emphasizing Azure and Databricks.

  • Possess in-depth knowledge of cloud data services, data warehousing, big data technologies, and data lakes.

  • Showcase expertise in data modeling, integration, and ETL processes.

  • Be familiar with data governance, security, and compliance standards.

  • Demonstrate proficiency in Python, PySpark, and SQL.

  • Showcase strong problem-solving and analytical abilities.

  • Possess excellent communication and interpersonal skills.

  • Hold relevant certifications in Azure, such as Azure Data Engineer (preferred).

  • Experience with data visualization tools like Power BI or Tableau is advantageous.

  • Familiarity with agile methodologies and the ability to apply DevOps and DataOps principles to data pipelines.

  • Exhibit strong problem-solving skills and attention to detail.

  • Have a proficient command of the English language, both written and verbal, at C1 level.

    • ,[Develop and implement a cloud data strategy that aligns with the goals of the organization., Create strong data architectures specifically tailored for Microsoft Azure., Take charge of data integration processes, including ETL, to ensure smooth data flow., Ensure data security and compliance by implementing appropriate measures within cloud environments., Continuously optimize data solutions to ensure cost-effectiveness., Establish and uphold standards for data governance and quality., Utilize Azure services, along with tools like dbt and Databricks, to build efficient data pipelines and analytics solutions., Collaborate with cross-functional teams to grasp requirements and offer suitable data solutions., Maintain thorough documentation for both data architecture and solutions., Guide and support junior team members in adopting best practices for cloud data architecture.] Requirements: Azure Data, Azure, Databricks, Big Data, Data warehouse, Data Lake, Data modeling, ETL, Python, PySpark, SQL, Data visualization, Power BI, Tableau, DevOps Additionally: Sport subscription, Private healthcare, Flat structure, International projects.
Data publikacji: 2024-04-21
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