Senior AI & Agentic Engineer – Expression of Interest (Future Opportunities)
Salary not listed • North America
Posted 1mo ago
About the job
Artefact is seeking a Senior AI & Agentic Engineer for future opportunities. This role is ideal for an experienced professional with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. The position involves designing, building, and maintaining scalable data pipelines, integrating complex data systems, and implementing CI/CD practices. You will collaborate with stakeholders to translate business requirements into technical solutions, oversee data engineering teams, and enforce data governance and security best practices. The role also includes optimizing data retrieval and developing reports, while continuously evaluating new technologies to enhance data engineering capabilities.
Responsibilities
- Design, build, and maintain scalable data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow, and Pyspark.
- Lead the integration of complex data systems, ensuring data consistency and accuracy across platforms.
- Implement CI/CD practices for data pipelines to improve efficiency and quality.
- Collaborate with data architects, analysts, and stakeholders to translate business requirements into technical implementations.
- Oversee and manage a team of data engineers, providing guidance and mentorship.
- Develop and enforce best practices in data governance, security, and compliance.
- Optimize data retrieval and develop dashboards and reports for business teams.
- Continuously evaluate new technologies and tools to enhance data engineering capabilities.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5-7 years of industry experience in data engineering.
- Strong technical proficiency in SQL, Python, and big data technologies.
- Extensive experience with cloud services like Azure Data Factory and AWS Glue.
- Demonstrated experience with Databricks and Snowflake.
- Solid understanding of CI/CD principles and DevOps practices.
- Proven leadership skills and experience managing data engineering teams.
- Strong project management skills, with the ability to lead multiple projects simultaneously.
- Excellent problem-solving skills and ability to work under tight deadlines.
- Strong communication and interpersonal skills.
- Excellent understanding of data architecture, including data mesh, data lake, and data warehouse.