Senior Data Platform Engineer — Remote, Equity & Unlimited PTO

reach management consultant pvt ltd; San Francisco (CA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation and equity

Comprehensive benefits package

Fully remote team

Unlimited PTO

Technical growth opportunities

Job summary

Reach Security is seeking a Senior Staff Data Platform Engineer to design, build, and manage scalable data pipelines and analytics infrastructure.

You will work with Trino, Redshift, BigQuery, and Apache Iceberg to enable robust analytics while shaping platform architecture and engineering best practices. You’ll own critical backend components from day one and help drive performance and reliability across the data stack.

Qualifications

• 8+ years of experience in data platform engineering or related roles focusing on infrastructure and data management.
• Deep experience with analytic query engines and platforms such as Trino (Presto), Redshift, BigQuery, and Apache Iceberg.
• Expertise in designing platforms supporting Medalion architecture, star schemas, and schema evolution.
• Solid foundation in automated schema detection, observability, and performance optimization.
• Proficiency with cloud-based platforms and services (AWS, Azure, GCP, etc.).
• Strong skills in Python and experience with modern infrastructure automation tools.
• Excellent problem-solving abilities in complex data scenarios requiring performance tuning and scalability solutions.
• Strong communication skills, able to articulate platform design concepts clearly to both technical and non-technical audiences.
• A proactive and collaborative mindset, comfortable working independently and within fast-paced teams.

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 closely with Data Engineering and Analytics teams to ensure effective integration, schema detection, and schema evolution.
• Develop and maintain observability frameworks to monitor and troubleshoot data pipelines and platform performance.
• Implement best practices for data modeling, schema design, and pipeline fan-out strategies.
• Ensure data integrity, quality, and consistency across Medalion architectures, star schemas, and Lakehouse environments.
• Proactively identify opportunities to enhance platform scalability, efficiency, and reliability.

Skills

Python

Observability

Performance tuning

Schema design

Data pipelines

Tools

Trino (Presto)

Redshift

BigQuery

Apache Iceberg

Terraform

Pulumi

AWS CDK

Job description

Reach Security is seeking a Senior Staff Data Platform Engineer to design, build, and manage scalable data pipelines and analytics infrastructure.

You will work with Trino, Redshift, BigQuery, and Apache Iceberg to enable robust analytics while shaping platform architecture and engineering best practices. You’ll own critical backend components from day one and help drive performance and reliability across the data stack.