Senior Data Architect
1 month ago
At Tech Vedika, we are seeking a highly skilled Senior Data Architect to lead our Databricks initiatives. This role requires expertise in designing and implementing scalable data architectures, including Data Lakes, Lakehouses, and Data Warehouses.
Key Responsibilities:
· Serve as the subject matter expert for all Databricks-related activities, including architecture, development, and operational best practices.
· Design, develop, and manage ETL/ELT pipelines in Databricks using Python (PySpark), integrating various data sources to support business operations.
· Leverage Unity Catalog to ensure data lineage, security, and governance are properly managed across the Databricks environment.
· Implement and maintain CI/CD pipelines for Databricks, ensuring smooth deployments, version control, and automation using Git and other DevOps tools.
· Build and optimize data solutions with Databricks, focusing on high performance and scalability.
· Collaborate with cross-functional teams to implement data governance and ensure compliance with industry regulations.
· Provide guidance and mentorship to junior engineers, ensuring adherence to best practices and fostering a collaborative environment.
Qualifications:
· 5+ years of experience in data engineering with significant expertise in Databricks and Apache Spark.
· Strong understanding of CI/CD practices with experience in Git for version control and integration with Databricks.
· Expertise in SQL development and performance tuning for large-scale datasets.
· Knowledge of the Azure ecosystem, including data services like Azure Data Lake and Azure Storage.
· Ability to work with both batch and streaming data processing pipelines.
Benefits:
We offer a competitive salary range of $150,000 - $200,000 per year, depending on experience. Additional benefits include health insurance, meal vouchers, learning aids, client/customer interactions, and opportunities to work with great minds.
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