Lead Data Engineer

You will lead the design and implementation of scalable data architectures and pipelines.

Responsibilities

• Design and implement scalable data pipelines and manage data warehouses and data lakes.
• Build semantic layers, aggregate tables, and data models using Star or Snowflake schemas.
• Optimize Snowflake performance, including query tuning, warehouse usage, and credit consumption.
• Enforce security through row-level access policies, dynamic masking, and RBAC controls.
• Collaborate with data scientists and product teams to support machine learning and analytics initiatives.

Required Skills

• 8+ years of experience in data engineering.
• Expertise in Snowflake, including secure data sharing and reader accounts.
• Strong proficiency in SQL and scripting.
• Experience with ETL and scheduler tools.
• Hands-on experience with CI/CD orchestration using Jenkins and GitHub.
• Proven ability to implement data quality and management best practices.
• Experience designing governed, business-friendly analytics architectures.
• Strong interpersonal and communication skills for stakeholder interaction.

Preferred Skills

• Experience with Machine Learning and AI/LLM model training or implementation.
• Background in data observability, lineage tracking, or metadata management tools.