Role Overview
The Lead Data Engineer will design and deliver scalable data pipelines and data solutions on our modern data stack, centered on Snowflake on AWS, Snowflake Openflow (Apache NiFi), dbt, PostgreSQL, Python, and SQL. This is a senior hands-on engineering role responsible for translating business and data requirements into sound technical designs, building and optimizing pipelines, and delivering reliable data products.
What You Will Do
The Lead Data Engineer will lead the end-to-end design and delivery of scalable data pipelines and data solutions using Snowflake, Snowflake Openflow (Apache NiFi), and dbt. They will translate business and data requirements into technical designs, data flows, integration patterns, data models, and delivery plans.
Why It Might Be a Fit
The ideal candidate will have strong production experience with Cloud data technologies, including solution design, data structures, performance tuning, workload management, security, and cost optimization. They will also have experience designing ETL/ELT solutions across batch, CDC, API, and file-based ingestion and applying sound data modeling, quality, validation, and recovery practices.
Requirements
- Bachelor’s degree in computer science, engineering, information systems, or an equivalent combination of education and relevant experience.
- 10+ years of hands-on data engineering experience, including at least 2 years leading technical delivery or production operations.
- Strong production experience with Cloud data technologies in one of Snowflake, AWS, Azure or GCP including solution design, data structures, performance tuning, workload management, security, and cost optimization.
- Advanced SQL skills with experience and a track record of building maintainable, testable production data pipelines and data products.
- Experience designing ETL/ELT solutions across batch, CDC, API, and file-based ingestion and applying sound data modeling, quality, validation, and recovery practices.
- Strong solution-design, communication, and technical-leadership skills, with the ability to guide decisions, mentor engineers, and work across business and technology teams.
Benefits
- Comprehensive Medical Coverage
- Provident Fund Contribution
- Performance-Based Incentives
- Bucketlist Rewards Platform
- Culture of Appreciation
- Flexible Work Model
- Paid Leave Entitlements
- Continuous Learning Culture
- Career Growth Opportunities
- Collaborative Knowledge Sharing
To apply for this job please visit job-boards.greenhouse.io.

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