Senior Data Reliability & Governance Architect

Circle Internet Management Services LLC; California (MO); On-site; USD 225,000 - 290,000; Full time

Job summary

Circle Internet Management Services LLC is seeking a talented professional to define and drive the strategy for data reliability, quality, and operational excellence across the organization. The role involves building and trusting the data ecosystem as well as ensuring scalable frameworks and incident management practices.

Key responsibilities include establishing data quality standards, leading technical initiatives, and driving complex, high-impact data solutions. Candidates should have extensive experience in scalable data platforms and be familiar with modern data tooling ecosystems.

Qualifications

• Extensive experience designing and operating scalable data platforms.
• Experience leveraging AI tools for solutions.
• Deep expertise in data architecture and distributed systems.
• Proven ability to implement data quality frameworks.
• Strong experience with monitoring and alerting for data systems.
• Demonstrated ability to lead complex initiatives.
• Experience defining engineering best practices for data systems.

Responsibilities

• Define and implement data quality standards.
• Design and scale reliability and observability frameworks.
• Establish incident management practices.
• Develop data engineering SDLC practices.
• Drive prioritization of reliability initiatives.
• Lead ecosystem-wide platform improvements.
• Deliver complex data initiatives.

Skills

Data platform design and operation

AI tools and methodologies

Data architecture

Data quality frameworks

SLI/SLO frameworks

Cross-team technical initiatives

Engineering best practices

Tools

Astronomer (Airflow)

BigQuery

dbt

Dataplex

Kubernetes

Python

Go

Job description

Circle Internet Management Services LLC is seeking a talented professional to define and drive the strategy for data reliability, quality, and operational excellence across the organization. The role involves building and trusting the data ecosystem as well as ensuring scalable frameworks and incident management practices.

Key responsibilities include establishing data quality standards, leading technical initiatives, and driving complex, high-impact data solutions. Candidates should have extensive experience in scalable data platforms and be familiar with modern data tooling ecosystems.