AWS Admin, Terraform, IDQ/Atacamma and ETL

Join a team that keeps cloud platforms reliable, secure, and ready to scale—while ensuring the data flowing through them is accurate and trusted. In this role, you’ll blend hands-on AWS administration with Infrastructure as Code using Terraform and drive strong data quality outcomes using IDQ and/or Ataccama. You’ll collaborate closely with engineering, data, and governance stakeholders to build resilient environments, automate repeatable operations, and implement practical data quality controls that improve confidence in reporting and downstream analytics. If you enjoy solving complex operational challenges, standardizing best practices, and making measurable improvements to data reliability, this is a great opportunity to create impact across both cloud and data quality domains in a collaborative, delivery-focused culture.

Technical Requirements: • Experience designing scalable Terraform module patterns, managing multi-environment deployments, and enforcing IaC standards.
• Strong knowledge of AWS security best practices (least privilege IAM, logging/monitoring, encryption, and secure networking).
• Experience integrating IDQ/Ataccama checks into broader data workflows and operationalizing data quality monitoring and reporting.
• Exposure to data governance practices such as issue management, stewardship workflows, and data quality KPI tracking.
• Demonstrated ability to lead troubleshooting efforts, reduce recurring incidents, and improve platform stability through automation and standardization.

Additional Responsibilities: • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
• 5–9 years of overall experience with strong hands-on ownership in AWS administration and cloud operations.
• Proven experience using Terraform to provision and manage cloud infrastructure in AWS.
• Working experience with Informatica Data Quality (IDQ) and/or Ataccama to design and run data quality rules and validations.
• Solid understanding of data quality concepts (profiling, rule-based validation, exception handling, and reporting).
• Ability to collaborate with cross-functional teams and communicate technical issues and resolutions clearly.