[Hiring] Senior Data Engineer @Celigo

Role Description

Celigo is looking for a Senior Data Engineer to serve as a hands-on architect and steward of our Snowflake-based data ecosystem. You will own the design and delivery of scalable ELT pipelines, production-grade data models, and the observability frameworks that keep them reliable.

• Design, build, and maintain scalable ELT/ETL pipelines and data infrastructure using Snowflake and modern tooling.
• Architect and implement data models — including dimensional, data vault, and medallion/lakehouse patterns — to support analytics, BI, and ML use cases.
• Collaborate with Analytics, Product, and Engineering teams to translate business requirements into reliable, well-documented data solutions.
• Establish and enforce data quality standards, automated validations, and observability frameworks to ensure high reliability across all pipelines.
• Contribute to data governance practices, including documentation, data lineage, access control, and compliance standards.
• Monitor and optimize pipeline performance, compute cost efficiency, and data freshness across the warehouse.
• Evaluate and implement emerging Snowflake features and data tooling to improve engineering velocity and reduce costs.
• Leverage AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor, or equivalent) to accelerate pipeline development, code review, and documentation.
• Participate in code reviews, architectural discussions, and cross-functional technical planning sessions.

Qualifications

• Deep expertise in Snowflake architecture, including virtual warehouse configuration, clustering, data sharing, role-based access control, and cost governance.
• Strong command of modern ELT tooling such as dbt, Fivetran, Airflow, or Prefect in a Snowflake-native environment.
• Hands-on experience integrating AI/ML tools into the development cycle, including AI-assisted coding, automated testing, or LLM-powered data workflows.
• Proven ability to translate complex business requirements into scalable, well-documented technical solutions.
• Strong communication skills with the ability to collaborate effectively across technical and non-technical teams.

Requirements

• Degree in Computer Science, Engineering, or a related technical field.
• 5+ years of hands-on experience in data engineering, specifically building production-grade pipelines and distributed computing frameworks.
• 3+ years working directly with Snowflake in a production capacity.
• Demonstrated experience in architecting or contributing to at least one full data warehouse migration or rebuild on Snowflake.
• Advanced proficiency in SQL and at least one programming language (Python preferred).
• Experience with version-controlled, CI/CD-driven data pipeline development (e.g., dbt + GitHub Actions or equivalent).
• Familiarity with data governance, security, and compliance considerations in a cloud data warehouse context (e.g., column-level security, dynamic data masking, audit logging).

Benefits

• Competitive compensation and benefits, including three weeks of vacation (starting year one).
• Wellness days and holidays to recharge.
• Parental leave and a generous benefits package.
• Monthly tech stipend.
• Recognition and career development opportunities.