Teams at Azenta Life Sciences

Designs and maintains enterprise data platforms, ETL pipelines, Snowflake data models, AWS data lakes, PostgreSQL solutions, and governed analytics datasets. The role supports reporting, dashboards, self-service BI, AI and machine learning initiatives, data quality, governance, and performance optimization. Responsibilities include integrating enterprise and third-party data, developing reusable metrics and datasets, documenting lineage and transformations, and partnering with business, data science, and AI teams.

Develop and execute B2B integrated marketing campaigns to drive awareness and leads. Partner with product marketing, digital, sales, and agencies to create assets, manage projects, and measure results. Use the marketing tech stack (Asana, HubSpot, Salesforce, Canva, Illustrator) to plan, execute, and report on campaigns. Support event promotion and cross-functional communications.

Designs, develops, and maintains enterprise-scale cloud-native software for Azenta’s laboratory informatics platform. Builds microservices, APIs, event-driven systems, AI-enabled capabilities, and scalable data workflows using AWS, Kubernetes, Terraform, and PostgreSQL. Leads architecture and technical initiatives, implements DevSecOps, testing, monitoring, and security practices, and collaborates with cross-functional teams. Mentors engineers, influences technical direction, supports product delivery, and contributes to reliable, compliant, multi-tenant SaaS solutions.