Senior Data Platform Engineer - Scale Data Lakes

Globaldev Group; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Vacation 20 days

Top equipment

HR support

Accounting support

Relocation for Ukrainian colleagues

Long-term project

Job summary

Globaldev Group is seeking a Senior Data Platform Engineer to design, build, and evolve the company’s data infrastructure. The role focuses on scalable data platforms, high-volume ingestion pipelines, and core data systems powering analytics, AI workloads, and large-scale model execution.

You will architect the data lake, implement scalable ingestion, and guide the data stack end-to-end using Terraform and Kubernetes.

Qualifications

• 5+ years of experience as a Data Platform/Infra Engineer.
• Experience building and operating scalable data infrastructure in Data Lake architectures.
• Experience designing and operating large-scale data processing workloads on Kubernetes with KEDA.
• Experience with Snowflake.
• Strong Python and SQL skills.
• Hands-on with Infrastructure as Code, preferably Terraform.
• Experience with Airflow or Prefect for data orchestration.

Responsibilities

• Build complex, high-volume batch and near-real-time ingestion services while evolving streaming capabilities.
• Design and implement data solutions for distributed microservices environments.
• Develop and optimize large-scale data pipelines for batch and streaming use cases.
• Ensure data quality, compliance, and governance.
• Manage Kubernetes infrastructure and dynamically scale with KEDA.
• Own the data stack lifecycle from provisioning to application frameworks using Terraform and Kubernetes.
• Provide technical guidance and promote best practices around infra, CI/CD, testing, and system design.
• Dive into memory management and performance tuning for cost-effective, fast distributed systems.

Skills

Python

SQL

Data Lake architectures

KEDA autoscaling

Tools

Kubernetes

Snowflake

Terraform

Airflow/Prefect

Job description

Globaldev Group is seeking a Senior Data Platform Engineer to design, build, and evolve the company’s data infrastructure. The role focuses on scalable data platforms, high-volume ingestion pipelines, and core data systems powering analytics, AI workloads, and large-scale model execution.

You will architect the data lake, implement scalable ingestion, and guide the data stack end-to-end using Terraform and Kubernetes.