Lead Data Engineer
Blend360
•Hybrid
About The Position
Blend is seeking a Lead Data Engineer with strong expertise in Snowflake-based data platforms, modern data architectures, and AWS. This role involves leading the design and implementation of scalable ingestion and validation solutions for a leading enterprise client. It is a client-facing leadership position, suitable for engineers with deep technical skills, excellent communication, and a proactive approach. The Lead Data Engineer will be crucial in ensuring high-quality, governed, and reliable data pipelines that support essential business and analytics workflows.
Requirements
- 4+ years of experience in Data Engineering (strong senior-level or lead mindset expected).
- Strong hands-on experience with Snowflake (Must).
- Strong experience building ELT pipelines and data ingestion solutions.
- Solid experience with SQL and large-scale data processing.
- Strong understanding and hands-on experience with Medallion Architecture (Must).
Nice To Haves
- Experience building and maintaining data pipelines in AWS (Plus).
- Experience with data quality, validation frameworks, and governance practices.
- Familiarity with Snowflake Cortex (Plus).
- Experience with CI/CD pipelines for data workflows (Plus).
- Experience with Iceberg tables and Snowflake data sharing (Plus).
- Experience with tools such as dbt, Glue, Athena, EMR, Lambda, Terraform, or CloudFormation (Plus).
Responsibilities
- Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
- Own the development of end-to-end ELT pipelines integrating multiple data sources.
- Design and enforce data quality frameworks, including validation rules, testing strategies, and monitoring.
- Apply and drive Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines.
- Build and optimize data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.).
- Develop and enhance data validation and ingestion frameworks, including UI components (Streamlit-based) when needed.
- Act as a technical leader, guiding best practices in data engineering, governance, and pipeline reliability.
- Proactively identify risks, bottlenecks, and data quality issues, and implement mitigation strategies before they impact delivery.
- Contribute to data governance initiatives, including data definitions, lineage, and stewardship practices.
- Drive documentation and continuous improvement of data platform processes.
Benefits
- Certifications in AWS, Databricks, and Snowflake.
- Access to AI learning paths.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business.
- English lessons.
- Travel opportunities to attend industry conferences and meet clients.
- Career development plans and mentorship programs.
- Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.
- Flexible working options.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
