Job Description

We are looking for a Senior Data Engineer with strong experience in modern cloud data platforms and data pipeline development. In this role, you will design, build, and maintain scalable data pipelines and transformation workflows using a modern data stack centered around Snowflake, dbt, and Apache Airflow

The position combines data engineering expertise with DataOps practices, focusing on automation, reliability, and scalability of data workflows. You will work closely with analytics, product, and engineering teams to ensure the delivery of high-quality datasets and data products.

Key Responsibilities

• Design, develop, and maintain data pipelines and ELT workflows within a modern cloud data platform

• Build and manage data transformation models using dbt, including testing, documentation, and modular modeling

• Orchestrate and monitor data workflows using Apache Airflow

• Manage and optimize Snowflake data warehouse environments, focusing on performance and cost efficiency

• Implement DataOps practices, including CI/CD pipelines, automated testing, and deployment for data workflows

• Ensure data quality, reliability, and observability across the data platform

• Collaborate with analytics, product, and engineering teams to deliver reliable datasets and data products

• Improve monitoring, automation, and operational processes for the data platform

Required Skills & Experience

• 7+ years of experience in Data Engineering or similar roles

• Strong hands-on experience with:

  • Snowflake

  • Apache Airflow

  • dbt (data build tool)

• Advanced SQL skills

• Experience designing and managing ELT pipelines

• Experience using Git and collaborative development workflows

• Familiarity with DataOps practices and CI/CD pipelines for data workflows

• Solid understanding of data modeling and data warehouse architecture

Nice to Have

• Experience with cloud platforms such as AWS, Azure, or GCP

• Familiarity with containerization technologies such as Docker

• Experience with Infrastructure as Code tools (e.g., Terraform)

• Experience with data quality, monitoring, or observability tools

• Exposure to data governance frameworks

Candidate Profile

• Senior engineer capable of owning components of a data platform

• Comfortable working at the intersection of data engineering and operational platform management

• Strong focus on automation, reliability, and scalable data workflows

• Experience collaborating with cross-functional teams, including analytics, product, and engineering stakeholders