Software Engineer (Data Platform)

Remotedxb; Dubai; On-site; AED 300,000 - 500,000; Full time

Benefits offered by this job

Competitive salary and equity package

Medical, dental, and vision insurance

Retirement plans (401(k))

Life insurance and disability coverage

Unlimited PTO

Job summary

Reach Security is seeking a Data Platform Engineer to architect and maintain scalable data infrastructure. You will implement analytics engines using Trino, Redshift, and BigQuery, and design robust data management with Apache Iceberg across Medalion architectures and Lakehouse environments.

The role requires 3+ years in data infrastructure, strong Python and cloud skills, and a focus on data integrity and performance tuning. A competitive package and comprehensive benefits are offered.

Qualifications

• 3+ years of experience in data platform engineering or related infrastructure roles.
• Deep experience with Trino (Presto), Redshift, BigQuery, and Apache Iceberg.
• Proficiency with cloud-based platforms (AWS, Azure, or GCP).
• Strong skills in Python and modern infrastructure automation tools.

Responsibilities

• Architect, build, and maintain scalable and reliable data platform infrastructure
• Implement and optimize analytic query engines using Trino (Presto), Redshift, and BigQuery
• Design and support robust data management solutions leveraging Apache Iceberg
• Collaborate with Data Engineering and Analytics teams on integration and schema evolution
• Develop and maintain observability frameworks to monitor data pipelines and platform performance
• Implement best practices for data modeling, schema design, and pipeline fan-out strategies
• Ensure data integrity and consistency across Medalion architectures and Lakehouse environments

Skills

Problem solving

Tools

Trino (Presto)

Redshift

BigQuery

Apache Iceberg

Python

AWS

Azure

GCP

Terraform

Pulumi

AWS CDK

Data modeling

Job description

About the Company

Reach Security integrates with existing security tools to identify blind spots across defenses, prioritize fixes, automatically remediate misconfigurations, and continuously validate security posture.

Responsibilities

• Architect, build, and maintain scalable and reliable data platform infrastructure
• Implement and optimize analytic query engines using Trino (Presto), Redshift, and BigQuery
• Design and support robust data management solutions leveraging Apache Iceberg
• Collaborate with Data Engineering and Analytics teams on integration and schema evolution
• Develop and maintain observability frameworks to monitor data pipelines and platform performance
• Implement best practices for data modeling, schema design, and pipeline fan-out strategies
• Ensure data integrity and consistency across Medalion architectures and Lakehouse environments

Requirements

• 3+ years of experience in data platform engineering or related infrastructure roles
• Deep experience with Trino (Presto), Redshift, BigQuery, and Apache Iceberg
• Expertise in designing platforms supporting Medalion architecture and star schemas
• Proficiency with cloud-based platforms (AWS, Azure, or GCP)
• Strong skills in Python and modern infrastructure automation tools
• Strong problem solving abilities for complex data performance tuning

Preferred Qualifications

• Extensive experience developing highly observable and scalable data platforms
• Proven expertise in advanced query optimization and database scaling
• Familiarity with Infrastructure as Code (IaC) tools like Terraform, Pulumi, or AWS CDK

Benefits

• Competitive salary, commission, and equity package
• Medical, dental, and vision insurance with company-paid employee coverage
• FSA, HSA, and 401(k) plans
• Company paid life insurance and disability coverage
• Unlimited PTO and sick time