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Data Architect (Databricks)
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Databricks
SQL
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Responsibilities:
- Build efficient and scalable data pipelines using advanced SQL and Python/PySpark.
- Create and maintain data models optimized for analytical consumption (Star Schema, Snowflake, Bronze/Silver/Gold layers).
- Implement testing, validation, and governance routines to ensure data integrity and reliability.
Requirements:
- Solid experience with relational databases (SQL, Oracle) and Databricks ecosystem (Spark, PySpark, Azure Data Factory).
- Deep understanding of data layers and modeling, plus knowledge of data quality, governance, and CDC/CDF.
- Proficiency in SQL and Python/PySpark, with ability to use AI for accelerated development.
Differentials:
- Databricks or Azure certifications (e.g., Azure Data Engineer, Databricks Certified).
- Experience with workflow orchestration tools like Airflow.
- Familiarity with BI platforms (Power BI, Tableau) and agile methodologies.
CI&T
CI&T helps large companies transform AI potential into real business impact with AI deployment and tech-integrated solutions. They have 8,000 employees across 25+ countries, fostering a collaborative and innovative culture.