Data and Systems Engineer

• Support development of reference architectures for data, analytics, and compute platforms.
• Ideate, develop, and document system design architecture and define and refine technical standards as needed.
• Assist with modeling data flows, source-to-target mappings, and governance frameworks.
• Participate in design reviews for Databricks, AWS, and Posit platform capabilities.
• Support development and optimization of ETL/ELT pipelines in Databricks with Unity Catalog and Delta Lake.
• Assist with AWS architecture including S3, Glue, IAM, Lambda, EC2, EMR, and Cloud Watch.
• Contribute to integrations between Databricks, Posit Workbench/Connect, and scientific data platforms.
• Support CI/CD and IaC workflows using Terraform, Git Hub Actions, and AWS-native tooling.
• Support data governance initiatives including Unity Catalog permissions and lineage tracking.
• Assist with platform security reviews, compliance controls, and audit readiness.
• Contribute to documentation of architectural standards and operational safeguards.
• Collaborate with scientists, engineers, and platform teams to understand requirements.
• Support onboarding, training, and documentation for Databricks, AWS, and Posit users.
• Participate in platform roadmap discussions and capability assessments.

• Hands-on experience with Databricks (Unity Catalog, Delta Lake, clusters, notebooks).
• Knowledge of Posit Workbench/Connect/Package Manager and R/Python workflows.
• Experience with AWS services: S3, IAM, Lambda, EC2, Glue, EMR, Cloud Watch.
• Ability to develop automation and workflows using Python, SQL, R, Bash, or Power Shell.
• Understanding of cloud architectures, data engineering patterns, and system integrations.
• Hands-on modeling experience creating architecture diagrams (Visio, Draw.io, SqlDBM).
• Exposure to Terraform, Cloud Formation, or Git Hub Actions.
• Familiarity with scientific computing environments or R&D workflows on a global scale.

Candidates should possess a bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a closely related discipline, or demonstrate equivalent professional experience in a relevant technical field.