Senior Data Platform Engineer - Cloud, AI & Observability

Jobtailor; Atlanta (MO); On-site; USD 150,000 - 200,000; Full time

Job summary

Jobtailor is seeking a senior data engineer to architect and build our core data platform. You will drive ideation, design, and development of platform components and connectors across on-prem and cloud sources.

You will create SDKs and libraries to enable scalable data services and ensure data quality, governance, and observability. The role emphasizes end-to-end data platforms, multi-cloud experience (GCP/Azure), and hands-on Databricks/Delta Lake, with a focus on delivering robust, scalable

Qualifications

• 5+ years of proven experience in modern cloud data engineering and software engineering.
• Strong ability to build end-to-end data platforms and data services (beyond ETL).
• Experience with multi-cloud environments (GCP / Azure).
• Hands-on experience with Databricks (Delta Lake, Spark).
• Excellent experience with data modeling, governance, and observability.

Responsibilities

• Ideate, architect, design and develop key data platform components.
• Create and maintain data platform SDKs and libraries.
• Design connectors to source data from disparate systems (on-prem and cloud).
• Optimize storage, processing, and querying for large data sets.
• Develop data quality, governance, and observability frameworks.

Job description

Jobtailor is seeking a senior data engineer to architect and build our core data platform. You will drive ideation, design, and development of platform components and connectors across on-prem and cloud sources.

You will create SDKs and libraries to enable scalable data services and ensure data quality, governance, and observability. The role emphasizes end-to-end data platforms, multi-cloud experience (GCP/Azure), and hands-on Databricks/Delta Lake, with a focus on delivering robust, scalable