Architect, develop, and maintain automated data pipelines using a combination of low-code tools and custom AWS solutions
Own the provisioning and management of infrastructure for integrations by applying Infrastructure as Code principles with Terraform
Mentor engineers and champion best practices in software engineering, source control (Gitflow), and DevOps workflows within Github repositories
Collaborate closely with data scientists, product managers, and stakeholders to ensure integrations deliver transformative business value
Proactively monitor, troubleshoot, and ensure reliability and observability of integration solutions across distributed systems
Design and implement robust, scalable integrations between Databricks and key enterprise business systems (Netsuite, Workday, SalesForce)
Design & build integrations and automations using low-code/iPaaS platforms (such as Workato and Fivetran)

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience
Minimum 8+ years of hands-on experience in software engineering, with expertise in backend or distributed systems in cloud environments
Advanced proficiency in Python or Node.js
Expert-level AWS experience: Lambda, Step Functions, S3, CloudWatch, VPCs, IAM.
Deep hands-on expertise with Terraform and modern DevOps practices, including CI/CD and infrastructure lifecycle automation
Mastery of Git and modern source control workflows (Gitflow), using Github
Strong communication, collaboration, and leadership skills with a history of mentorship and technical ownership.

Staff Data Engineer, Enterprise Data Analytics

Key skills