Senior AI & Agentic Engineer – Expression of Interest (Future Opportunities)
About this role
Organizations struggle to scale complex data systems and translate business requirements into technical implementations, a challenge this future hire will resolve by building robust pipelines and leading technical teams. Artefact is expanding its pipeline of professionals for upcoming opportunities in North America, focusing on data, analytics, and artificial intelligence consulting. The individual in this role will design scalable data pipelines, integrate complex data systems, and oversee engineering teams while enforcing data governance and security standards.
This position suits senior practitioners who possess a strong technical background in big data technologies, cloud services, and team leadership. The person selected will collaborate closely with data architects, analysts, and business stakeholders to optimize data retrieval and deliver impactful technical solutions. Candidates who combine hands-on engineering capability with project management experience will thrive in this environment.
What you will do
- Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow, and Pyspark.
- Lead the integration of complex data systems while ensuring consistency and accuracy across multiple platforms.
- Implement continuous integration and continuous deployment practices for data pipelines to improve processing 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 for high-quality project deliverables.
- Develop and enforce best practices in data governance, security, and compliance within the organization.
- Optimize data retrieval and develop dashboards and reports for business teams.
- Evaluate new technologies and tools to continuously enhance data engineering capabilities.
What you need
- Hold a Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
- Bring 5 to 7 years of industry experience in data engineering with technical proficiency in SQL, Python, and big data technologies.
- Demonstrate extensive experience with cloud services such as Azure Data Factory and AWS Glue.
- Show documented experience working with Databricks and Snowflake.
- Possess a solid understanding of CI/CD principles and DevOps practices.
- Exhibit proven leadership skills and experience managing data engineering teams.
- Maintain strong project management skills with the ability to lead multiple projects simultaneously.
- Demonstrate an excellent understanding of data architecture including data mesh, data lake, and data warehouse.
Nice to have
- Certifications in Azure, AWS, or similar technologies
- Certifications in Databricks, Snowflake, or similar technologies
- Experience in leading large-scale data engineering projects
Skills and tech stack
Questions candidates ask
What is the location for this role?
The location for this position is North America. Artefact operates with 2000 employees across 36 offices globally.
Is this an immediate job opening?
This posting is for resume collection and does not represent an immediate vacancy. The recruiting team may reach out as future opportunities aligned with your experience become available.
What level of experience is required?
Candidates need 5 to 7 years of industry experience in data engineering. Proven leadership skills and experience managing data engineering teams are also required.