Databricks Architect
2 days ago
Experience- 8 to 16 years
Location- Pan India
Key Responsibilities:
- Design and implement data architecture solutions using Databricks on AWS or Azure cloud platforms.
- Lead the development of robust ETL/ELT pipelines for batch and real-time data processing.
- Optimize compute, storage, and network resources to ensure cost-effective and high-performance data solutions.
- Collaborate with cross-functional teams (Data Engineers, Data Scientists, DevOps, and Product teams) to define data requirements and delivery approaches.
- Implement data governance, security controls, access management, and compliance protocols.
- Architect data lakes and Delta Lake implementations for structured and unstructured data.
Required:
- 5+ years of hands-on experience with Databricks and Apache Spark.
- Proven experience designing and deploying data solutions on AWS (S3, EC2, Lambda, Glue, EMR, Redshift) or Azure (Data Lake, Synapse, Databricks, Event Hub).
- Expertise in programming languages like Python, Scala, or SQL.
- Strong understanding of data lakes, Delta Lake, data warehousing, and pipeline orchestration.
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