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Moderate due to common data-engineer demand, metro hiring, and an established employer brand.
Medium because data platform skills transfer across industries but require specific AWS data services and enterprise context.
High due to mandatory lead/principal level and specific AWS, Terraform, and Python requirements.
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Lead technical delivery and architecture of large-scale data pipelines and data lake solutions on AWS.
Build and maintain AWS native data platforms applying DevOps practices with Terraform and CI/CD pipelines.
Provide technical leadership and mentoring to data engineering team members.
Proven Lead or Principal level Engineering experience in a large or enterprise organisation.
Strong expertise with AWS data services including Glue, S3, Lake Formation, EventBridge, Lambda.
Advanced programming skills in Python and experience with Terraform and CI/CD pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced hands-on technical lead comfortable managing complex data engineering workstreams in enterprise environments.
Deep understanding of AWS native data platform architecture and DevOps automation.
A strategic contributor who can drive best practices for automated testing, data quality, and configuration as code in data platform engineering.