Job Description & How to Apply Below
Experience:
8–12+ years
We are looking for a Databricks Architect with strong expertise in PySpark, Python, Azure, Synapse, Databricks, and AI/Data Engineering .
Key Responsibilities:
Design and implement scalable Azure Databricks and data engineering architectures .
Lead development using PySpark and Python for large-scale data processing.
Design Azure Synapse, Data Lake, and modern data platform solutions.
Define Databricks architecture, performance optimization, security, governance, and best practices.
Integrate AI/ML workloads with Databricks and Azure data platforms.
Lead technical teams and provide architecture guidance across data engineering projects.
Develop robust ETL/ELT pipelines and cloud-native data solutions.
Required Skills:
Databricks | PySpark | Python | Azure | Azure Synapse | Data Lake | ETL/ELT | SQL | Data Engineering | AI/ML
Must Have: Strong Databricks Architect experience with hands-on PySpark, Python, Azure, and Synapse expertise.
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