Machine Learning Engineer delivering real - world impact through efficient, adaptive ML systems in production. Collaborating with strategic partners and directly impacting AI research and product vision.
About the role
- Senior Data Platform Engineer optimizing AI/ML infrastructure on AWS at Trajector. Building scalable solutions for data governance, observability, and CI/CD.
Responsibilities
- Design, build and manage scalable data platform infrastructure on AWS including Snowflake, dbt Core, Airflow, and Atlan for enterprise data governance and self-service analytics
- Implement and maintain comprehensive CI/CD pipelines using GitHub Actions, SonarQube, and Infrastructure-as-Code practices with GitOps workflows for automated data platform deployments
- Establish and enforce data governance frameworks including role-based access control, data quality monitoring, and metadata management using Atlan for data cataloging and lineage tracking
- Build data observability and monitoring solutions using SumoLogic and other observability tools for real-time and batch monitoring of data platform performance and reliability
- Lead architectural decisions for platform engineering initiatives, enabling self-service data capabilities while maintaining cost optimization and resource management at scale
- Mentor mid-level engineers and collaborate with cross-functional teams including Data Scientists, DevOps, and business stakeholders to align platform capabilities with organizational needs
Requirements
- 6-8 years of experience in data platform engineering
- Advanced proficiency with Snowflake administration, dbt Core development, Apache Airflow orchestration, and Atlan for data governance and catalog management
- Strong experience implementing GitOps practices, Infrastructure-as-Code with Terraform, and CI/CD workflows using GitHub Actions for data platform automation
- Expertise in AWS platform engineering including cost optimization strategies, resource management, and familiarity with Kubernetes and Docker for containerized data workloads
- Advanced Python programming skills and experience building data observability frameworks using SumoLogic and modern monitoring tools for platform reliability
- Experience establishing data governance practices in healthcare or regulated industries with knowledge of compliance requirements and security frameworks
Benefits
- Competitive salary and benefits
- Opportunities for continuing professional development
- Mentorship and career growth
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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