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Databricks Architect
Location
United States
Posted
41 days ago
Salary
0
Seniority
Lead
Job Description
Databricks Architect
Tiger Analytics
• Design and implement scalable, end-to-end data solutions for ETL, real-time streaming, and machine learning workloads on the Databricks platform • Provide technical leadership and strategic guidance on Databricks adoption, including developing reference architectures and best practices. • Ensure optimal performance by tuning Spark jobs, optimizing data pipelines, and resolving complex technical issues. • Architect, develop, and debug PySpark jobs and data models, integrating Databricks with cloud services such as AWS S3, EMR, and Lambda • Implement and enforce data governance, security, and access control policies (e.g., encryption, auditing) on the Databricks environment
Job Requirements
- 12+ years of experience in Architecture, design and data engineering development of large-scale data ecosystems.
- Databricks Design and Architecture: Design and architect scalable and secure Databricks solutions platform, optimizing performance, cost, and reliability.
- Hands on Databricks/Dataops Architect that can help reduce consumption, and improve performance issues. Can help build monitoring tools.
- Good exposure to AWS. Strong comm and leadership skills and Self driven and work independently.
- Experience in Performance initiatives and drive recommendations (identify tuning opportunities, creation of performance environment etc.
- Experience with hadoop environment.
- Core Skills:- Databricks platform knowledge, Unity Catalog migration implementation exposure, Spark Streaming pipeline design exposure
Benefits
- Significant career development opportunities exist as the company grows.
- Unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
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