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 up-to-date 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: Robust Databricks Architect experience with hands-on PySpark, Python, Azure, and Synapse expertise.

📌 Data Engineer Salem
🏢 Synstack Technologies
📍 Salem