Snowflake Architect - Apache Airflow

Responsibilities :

- Lead and drive the design and architecture of data solutions, ensuring alignment with business goals and technical requirements.

- Oversee the implementation and automation of data pipelines and workflows, using tools such as DBT, DataVault (AutomateDV), Snowflake, Airflow, and GitLab.

- Collaborate with engineering and business teams to gather requirements and ensure solutions meet functional and non-functional expectations.

- Provide mentorship and guidance to senior and junior team members on best practices, architecture, and development techniques.

- Evaluate and recommend new technologies, tools, and frameworks to enhance the team's capabilities.

- Conduct code reviews, implement robust testing strategies, and ensure high standards of quality and performance.

- Manage and optimize data storage and processing within Snowflake to ensure scalability, reliability, and cost-effectiveness.

- Work with DevOps and Infrastructure teams to automate and streamline data workflows and deployment processes.

Requirements :

- 5+ years of experience in data engineering or related fields, with 3+ years in an architecture or leadership role.

- Extensive experience with DBT, DataVault (AutomateDV), Snowflake, Airflow, and GitLab.

- Strong experience in designing and building scalable, reliable, and efficient data pipelines and data storage solutions.

- Expertise in cloud platforms (especially Snowflake) and big data technologies.

- Strong communication skills and ability to collaborate with stakeholders at various levels.

- Ability to mentor and lead teams in building high-performance, maintainable data solutions.

Preferred Skills (a plus, but not mandatory) :

- Experience with Microservices architecture and development.

- Familiarity with enterprise applications like NetSuite and Salesforce.

- Strong background in agile methodologies and DevOps practices.