Data Architect: I (Junior)

Robert Half - Columbus, OH

Full-time - Entry Level

Columbus, OH

Administrative and Support Services

About the position

The Data Architect: I (Junior) role is designed for individuals looking to start their career in data architecture, focusing on the design and implementation of MLOps solutions. This position offers the opportunity to work collaboratively with data scientists, product owners, and engineers in a dynamic environment, contributing to data-driven solutions that enhance business outcomes.

Responsibilities

• Collaborate with data scientists and product owners to design MLOps solutions that translate business requirements into technical specifications and architectures.
• Partner with MLOps engineers to ensure the solutions designed are efficiently implemented and aligned with best practices.
• Act as a liaison between business users, product owners, and MLOps engineers to ensure seamless communication and alignment on project goals.
• Utilize both proprietary and open-source MLOps tools to build flexible and scalable machine learning pipelines.
• Lead the end-to-end productionization process, working from model training to deployment and monitoring in real-time or batch systems.
• Design and maintain robust CI/CD pipelines for model deployment using various tools, ensuring smooth collaboration with development teams.
• Design APIs for batch and real-time model inference, ensuring reliability and scalability in production.
• Identify and implement relevant open-source tools to enhance the team’s MLOps platform, ensuring long-term flexibility and efficiency.
• Continuously update with the latest developments in MLOps, integrating new open-source tools to optimize workflows.
• Encourage continuous learning and experimentation within the team to foster innovation in MLOps practices.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field
• Proficiency in SQL and Python programming languages
• Experience with cloud technologies such as AWS
• Familiarity with Linux operating system
• Understanding of data engineering and best practices
• Knowledge of Scrum or other agile development methodologies
• Proven ability in designing, production, and deployment of database architectures
• Experience with data integration and monitoring tools
• Understanding of business requirement documents and ability to translate them into technical specifications
• Proven ability to collaborate effectively with various stakeholders
• Strong communication skills and ability to provide training where necessary
• Knowledge of automation practices and optimization techniques
• Familiarity with various data architecture frameworks
• Demonstrated innovation in previous roles

Nice-to-haves

• Experience with R code is a plus.