Senior Data Engineer(Snowflake)

Job Description

Responsibilities

• Architect and maintain scalable ELT/ETL pipelines using dbt and Snowflake
• Own the data warehouse performance, reliability, cost, and scalability
• Build and manage infrastructure on a major cloud platform (AWS, Azure, or GCP)
• Build semantic layers, metrics layers, and clean documented schemas that make the platform AI-ready for natural language querying and text-to-SQL
• Partner with data science/AI teams on pipelines that power ML models, LLM tools, and RAG-based products
• Set and enforce data quality, testing, and governance standards
• Mentor engineers and help set technical direction for the data team
• Work cross-functionally to turn business needs into data solutions

What You Bring

• 10+ years in data engineering, with deep hands-on Snowflake and dbt experience in production
• Strong cloud experience (AWS, Azure, or GCP)
• Proven track record building data models, warehouses, and pipelines from the ground up
• Experience making data AI-ready — semantic/metrics layers, metadata, and natural language query support
• Strong grasp of AI/ML fundamentals: LLMs, embeddings, and their application to structured data
• Strong SQL and Python skills
• Experience with orchestration tools (Airflow, Dagster, or similar)
• Excellent communicator, comfortable in a distributed/remote team

Nice to Have

• Streaming data experience (Kafka, Kinesis)
• Hands-on with LLM tools, RAG pipelines, or text-to-SQL frameworks
• Retail or Restaurant industry background
• Startup or fast-scaling company experience

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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