
Chief Data Architect
2 weeks ago
We seek a skilled professional to design and implement data solutions using Databricks, AWS, and related technologies.
Key Responsibilities:
- Analyze existing data warehouse implementations for migration and consolidation efforts.
- Reverse-engineer legacy stored procedures and translate business logic into scalable Spark SQL code within Databricks notebooks.
- Design and develop data lake architectures on AWS using S3 and Delta Lake, leveraging Databricks for processing and transformation.
- Build and maintain robust data pipelines with ETL tools for ingestion into S3 and processing in Databricks.
- Collaborate with data architects to implement data ingestion and transformation frameworks aligned with enterprise standards.
- Evaluate and optimize data models for performance and scalability in the new platform.
- Document ETL processes and data flows for transparency and maintainability.
- Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination.
Required Skills and Qualifications:
- 5+ years of experience working with Databricks, including Spark SQL and Delta Lake implementations.
- Strong SQL and PL/SQL skills with the ability to interpret and refactor legacy stored procedures.
- Hands-on experience with data modeling and warehouse design principles.
- Proficiency in at least one programming language (Python, Scala, Java).
- Experience working in Agile environments and contributing to iterative development cycles.
Benefits:
- Opportunity to work with cutting-edge technologies and contribute to innovative projects.
- Collaborative and dynamic work environment.
- Ongoing training and professional development opportunities.
Preferred Skills:
- Databricks cloud certification is a plus.
- Exposure to enterprise data governance and metadata management practices.
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