Databricks Architect – PySpark, Python & Azure
Experience: 8–12+ years
We are looking for a Databricks Architect with solid 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.

📌 Data Engineer (India)
🏢 Synstack Technologies
📍 India