
Senior Cloud Data Architect
4 days ago
Key Role: Senior Cloud Data Architect
We're seeking an exceptional Senior Cloud Data Architect to lead our data engineering efforts.
- Data Engineering Expertise:
- Azure and Databricks development, optimization, and implementation
- Data pipelines, ETL workflows, and Lakehouse architecture
- Cloud-based technologies and services integration
- Databricks Asset Bundles (DABs) for CI/CD and environment management
Responsibilities:
- Design and develop robust data pipelines using Azure and Databricks
- Develop scalable ELT/ETL workflows with Databricks, Delta Lake, ADF, and other Azure services
- Optimize Spark, SQL, and Python code for performance and scalability
- Apply software engineering best practices for a maintainable data ecosystem
- Mentor team members to improve productivity and technical capability
- Deliver high-quality solutions in a fast-paced environment
Requirements & Qualifications:
- 8+ years of experience in Data Engineering, with 5+ years hands-on in Azure and Databricks
- Strong expertise in Databricks, Azure Data Services, Python, SQL, and Spark
- Experience with modern data architectures, including Lakehouse and governance
- Proven track record of efficient delivery and helping teams accelerate execution
Preferred Skills:
- Experience with AI-driven development tools to accelerate coding and improve productivity
- Familiarity with Generative AI in Databricks, such as LLMOps and Model Serving
Work Environment:
- Must have 5-6 hours daily overlap with the USA team (EST time zone) for collaboration
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