
Senior Data Platform Engineer
2 weeks ago
We are seeking a highly skilled and experienced Data Platform Engineering Leader to lead the design, development, and optimization of our enterprise data platform. Our ideal candidate will have expertise in designing and implementing scalable ELT pipelines using DBT and Azure Data Factory, as well as experience with Snowflake performance optimization.
Key Responsibilities:- Design and implement scalable ELT pipelines using DBT and Azure Data Factory to ingest, transform, and load data into Snowflake.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data models.
- Optimize Snowflake performance through clustering, partitioning, and query tuning.
- Develop and maintain reusable DBT models and documentation for data consistency and transparency.
- Ensure data quality, governance, and security across the platform.
- Monitor and troubleshoot pipeline issues; implement proactive and scalable solutions.
- Lead code reviews, mentor junior engineers, and drive best practices in data engineering.
- Stay current with emerging technologies and recommend enhancements to the data platform architecture.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 8+ years of experience in data engineering or data platform development.
- Strong hands-on expertise in Snowflake, DBT, Azure Data Factory, and ELT pipeline design.
- Proficiency in SQL and Python for data manipulation and automation.
- Experience with CI/CD tools and version control systems (e.g., Git).
- Familiarity with data governance, security, and compliance standards.
- Strong problem-solving skills and ability to work independently as well as in teams.
- Solid understanding of data warehousing concepts and dimensional modeling.
- Exposure to Tableau, Power BI, or similar visualization tools is a plus.
- Snowflake certification is an advantage.
- Mandatory: Git, Snowflake, DBT, Python, SQL
- Good to Have: Azure Data Factory, ETL, AWS Glue, Tableau, Power BI, Prompt Engineering
- Domain Knowledge: Insurance domain exposure preferred
The ideal candidate will possess strong leadership skills, excellent communication abilities, and a passion for driving innovation and excellence in data engineering.
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