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Data Architect with Databricks Expertise

2 meses atrás

Belo Horizonte, Minas Gerais, Brasil CI&T Tempo inteiro

About CI&T

We are a leading digital transformation company, specializing in technology consulting and innovation services. With over 30 years of experience, we have helped numerous global enterprises navigate the complexities of digital change and achieve their business goals.

Job Summary

We are seeking a highly skilled Data Architect to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining scalable data solutions using Databricks for advanced analytics and machine learning.

Key Responsibilities

  1. Design and implement scalable data infrastructure and workflows using Databricks and other cloud-based technologies.
  2. Collaborate with cross-functional teams to ensure data integrity, usability, and security.
  3. Document data architectures, processes, and workflows to ensure knowledge sharing and best practices.
  4. Integrate data quality measures into data architectures to ensure data accuracy and reliability.
  5. Develop and manage CI/CD pipelines for ETL processes to ensure efficiency and scalability.
  6. Implement advanced dimensional data modeling techniques to ensure data consistency and accuracy.
  7. Design and implement Data Lake and Data Warehouse solutions to ensure data governance and compliance.
  8. Establish and enforce Data Governance practices, including catalog, lineage, and metadata management.
  9. Provide technical leadership and troubleshooting for data-related issues to ensure data quality and availability.
  10. Apply FinOps principles to optimize data costs and resource usage to ensure business efficiency.

Requirements

  1. Bachelor's degree in Computer Science, Information Technology, or a related field.
  2. Solid experience in data architecture, data engineering, or a related role.
  3. Excellent English communication skills (reading, writing, and speaking).
  4. Proven experience working with modern data architecture and engineering stacks in cloud environments (Azure).
  5. Extensive experience with the Databricks platform is essential.
  6. Strong proficiency in SQL and Spark.
  7. Expertise in designing and managing CI/CD pipelines for ETL processes.
  8. Advanced knowledge of dimensional data modeling.
  9. Proven track record of implementing Data Lake and Data Warehouse solutions.

Nice to Have

  1. Databricks certification is a plus.
  2. Experience working with international clients.
  3. Familiarity with Data Quality practices and tools.
  4. Knowledge of Data Governance solutions, particularly with Azure Purview.
  5. Understanding of FinOps principles applied to data management.