Data Engineer
Listed on 2026-07-25
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IT/Tech
Data Engineering, AWS
We are an executive search firm currently hiring on behalf of our client. Our focus is on identifying professionals whose skills and experience align with our clients' strategic hiring needs.
About the CompanyWe are a leading organization in analytics, cloud technologies, and digital engineering, helping global enterprises improve business performance through modern technology solutions. Our team partners with businesses to deliver scalable transformation across analytics, AI, cloud, and engineering, with a focus on measurable outcomes and long-term reliability. This role sits within a collaborative environment where engineering excellence, technical ownership, and modern cloud‑native delivery matter.
The team operates at enterprise scale and supports initiatives that influence reporting, business intelligence, AI/ML, and broader data‑driven decision‑making. We value strong technical leadership, practical problem‑solving, and the ability to turn complex data challenges into dependable platforms that support growth.
- Works on enterprise‑scale cloud, AI, and analytics transformation programs that have direct business impact. Each solution is expected to improve how data is used for reporting, intelligence, and decision support.
- Operates in a collaborative global delivery environment where engineering teams partner across functions. Success depends on shared accountability, technical clarity, and consistent delivery standards.
- Uses modern cloud‑native technologies to build resilient platforms. The focus is on creating scalable systems that support current needs while preparing the organization for future data growth.
- Strong emphasis on technical leadership, mentoring, and engineering ownership across data platform initiatives. The role expects someone who can raise standards while keeping delivery practical and reliable.
- Prioritizes cloud‑native delivery, automation, and operational discipline through Dev Ops, Infrastructure as Code, and CI/CD practices. These levers help improve speed, stability, and maintainability.
- Values data governance, security, and quality as core design principles rather than afterthoughts. This approach supports trust, compliance, and dependable business use of data.
This role owns the design and delivery of enterprise‑scale AWS data platforms that power analytics, reporting, AI/ML, and business intelligence. The focus is on building dependable data foundations that improve how the business accesses, transforms, and uses information. The Lead AWS Data Engineer will combine hands‑on engineering with technical leadership, guiding teams toward scalable architecture, stronger automation, and higher platform reliability.
Success in this role means turning complex data requirements into secure, governed, high‑performing solutions that support both current workloads and future growth. The position requires deep AWS expertise, strong programming and data engineering skills, and the ability to influence delivery standards across engineering teams.
- Own the design and implementation of AWS‑native data platforms that support enterprise analytics and reporting. Ensure the platform is built for scale, reliability, and practical business use.
- Build and optimize ETL and ELT pipelines using AWS services so data flows are efficient, resilient, and ready for downstream consumption. Improve delivery speed while reducing manual effort and failure points.
- Architect data lake and lakehouse solutions that create a governed foundation for diverse data use cases. Enable teams to access trusted data for intelligence, AI/ML, and business decision‑making.
- Lead Spark and distributed processing initiatives to handle large and complex datasets effectively. Improve throughput, performance, and engineering consistency across workloads.
- Implement data governance, security, and quality standards across the platform. Reduce risk, strengthen trust in the data, and support compliant enterprise usage.
- Support AI/ML data engineering and feature engineering needs so data assets are ready for advanced analytics. This ensures models…
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