Design and implement robust, scalable integrations between Databricks and key enterprise business systems (Netsuite, Workday, SalesForce)
Translate business requirements into technical specifications and integration workflows
Develop, and maintain automated data pipelines using a combination of low-code tools and custom AWS solutions (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
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

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience
Minimum 6+ years of hands-on experience in software engineering
Proficiency in Python or Node.js
AWS experience: Lambda, Step Functions, S3, CloudWatch, VPCs, IAM.
Hands-on experience with Databricks, Snowflake or similar for data warehousing, modeling, or pipeline optimization.
Experience with modern source control workflows (Gitflow), using Github

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonNode.jsAWSDatabricksTerraformGitflowDevOpsdata pipelinesdata warehousingpipeline optimization

Soft Skills

mentoringcollaborationtroubleshootingcommunicationbest practices

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering