Responsibilities

• Design and implement scalable data architectures in the cloud, ensuring secure and reliable data pipelines.
• Work across the full data lifecycle, supporting data scientists, analysts, and engineering teams.
• Lead development projects, data modelling, and cloud data platform deployments.
• Mentor data engineers and contribute to best practices across the team.
• Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation).
• Must have strong SQL, Python, Spark or Iceberg.
• Must have strong Terraform experience.
• Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild).
• Knowledge of infrastructure as code, performance tuning, and data migration.
• Exposure to DBT, Docker, or Microsoft BI stack is a plus.

Qualifications / Requirements

• Must have strong AWS, Terraform, Python, Spark, SQL

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology and Consulting

Industries

• Energy Technology, Utilities, and IT Services and IT Consulting