Trajector is where purpose meets progress. We specialize in developing medical evidence that becomes the compass our clients rely on while navigating the intricate terrain of disability benefits. Our calling is clear: to make a real difference, infuse passion, and enhance the quality of life for the disabled community. As part of our global community, you'll join a team of over 1,800 dedicated individuals, each contributing their unique talents to streamline the path to benefits. Urgency propels us, data empowers us, and every step is tailored to ensure those with disabilities access their rightful compensation. Join us in shaping stories of transformation, one life at a time.

The AI/ML team at Trajector builds and productionizes NLP solutions that extract and utilize relevant information from unstructured text and audio to build efficient business solution. We are looking for an experienced Data Platform engineer who will play a crucial role in scaling and optimizing our AI/ML infrastructure for model training, inference and observability within the AWS cloud.

We believe that investing in our team members is critical to our success, and we offer competitive salary and benefits. We offer opportunities for continuing professional development, mentorship, and career growth. The blend of compensation and benefits can change from person to person to be best aligned with your needs and goals.

· 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

Basic Qualifications

· 6-8 years of experience in data platform engineering with hands-on expertise in building and maintaining enterprise-scale data infrastructure and self-service platforms

· 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

Desired Qualifications

· Experience with SaaS platform integrations and managing data ecosystems that support real-time healthcare monitoring and analytics

· Leadership experience mentoring technical teams and driving platform engineering best practices across distributed organizations

· Knowledge of healthcare data compliance standards and platform engineering patterns for enabling secure, governed data access in regulated environments

Trajector is an EOE/Veterans/Disabled/LGBTQ employer.