Lead Data Engineer (Snowflake)

We are seeking a Senior Snowflake Data Engineer with proven greenfield experience-someone who has designed and built data platforms from scratch, not just enhanced existing systems.

You will play a critical role in foundational architecture, building scalable data pipelines, and establishing best practices across a modern Snowflake-based ecosystem spanning AWS and Azure.

What You'll Do

• Architect and implement a new Snowflake data warehouse environment from scratch
• Build end-to-end ingestion frameworks supporting:

Batch/file-based ingestion (S3, Blob Storage)

Real-time streaming (Snowpipe, Kafka, Event Hubs)

• Develop scalable transformations using Snowflake SQL, stored procedures, and Python
• Define and implement data models (dimensional/star schema) aligned with business needs
• Establish data quality, monitoring, and observability frameworks
• Optimize Snowflake performance and cost efficiency
• Integrate with AWS (S3, Lambda, CloudWatch) and Azure (ADF, Event Hubs, Functions)
• Implement CI/CD pipelines and Infrastructure as Code (Terraform/CloudFormation)
• Collaborate with stakeholders to translate undefined requirements into scalable solutions
• Mentor team members and help define data engineering standards

• 5-8+ years in Data Engineering with 3+ years strong Snowflake experience
• Proven track record of greenfield data platform implementations

Deep expertise in:

Advanced SQL & Snowflake optimization

Batch + streaming data pipelines

Data modeling and warehouse design

• Hands-on experience with both AWS and Azure ecosystems
• Strong Python programming skills
• Experience delivering production-grade, scalable data systems

Preferred (What Sets You Apart)

• Snowflake Certifications (SnowPro Core / Advanced)
• Experience building real-time streaming architectures using Kafka or similar technologies
• Strong experience with Terraform or Infrastructure as Code
• Familiarity with Docker, Kubernetes, and modern DevOps practices
• Experience with data observability / quality tools (Monte Carlo, Great Expectations, etc.)
• Exposure to BI tools (Tableau, Power BI, Looker)
• Prior experience in high-scale enterprise data environments

What We're Looking For

• Engineers who own problems end-to-end, not just write code
• Strong systems thinking and architectural mindset
• Ability to work across multi-cloud ecosystems
• Someone who can optimize, scale, and modernize data platforms, not just maintain them