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Cloud Data Architect Lead

1 tydzień temu

Kraków, Lesser Poland TN Poland Pełny etat
About TN Poland

We are a leading company in the data engineering space, and we're seeking an experienced Senior Data Architect to join our team. Our ideal candidate will have a strong background in designing and implementing effective cloud data models, as well as expertise in SQL and database management systems.

Responsibilities:

  • Design and implement cloud data models in Azure Datalake & Azure Databricks to store and retrieve company data.
  • Ensure data quality and integrity across data models.
  • Develop and enforce development standards.
  • Architect and model Business Intelligence (BI) and Analytics solutions to support data-driven decision-making.
  • Collaborate with stakeholders to understand business requirements and translate them into technical specifications for BI and Analytics solutions.
  • Develop and maintain data models, data integration processes, and data warehousing solutions to support BI and Analytics initiatives.
  • Implement and manage ETL (Extract, Transform, Load) processes to ensure accurate and timely data availability for BI and Analytics.
Requirements
  • Proven experience as a Data Architect, Data Scientist, Data Analyst, or similar role.
  • In-depth understanding of data warehouse's structure principles.
  • Expertise in SQL and database management systems (e.g., Oracle, SQL Server, PostgreSQL).
  • Knowledge of data visualization tools (e.g., Qlik, Power BI).
  • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift).
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • BSc/BA in Computer Science, Engineering, or a relevant field; MSc/MA will be preferred.
  • Extensive experience in architecting and modeling BI and Analytics solutions.
  • Proficiency in designing and implementing ETL processes and data integration workflows.
  • Strong background in developing data models and data warehousing solutions to support BI and Analytics.
  • Hands-on experience with Databricks for data engineering and SQL warehouse - MUST.
  • Preferred Qualifications:
  • Experience with big data technologies (e.g., Hadoop, Spark).