Remote Principal Data Platforms Architect

Speridian Technologies; Sacramento (CA); Remote; USD 200,000 - 260,000; Full time

Job summary

Speridian Technologies is seeking a Principal Engineer, Data Platforms to lead enterprise architecture and scalable data platform initiatives for a California government modernization program. This remote role includes occasional Sacramento-area meetings and close collaboration with cross-functional teams and executives.

Responsibilities span vision, governance, data governance, ML productization, and cloud-native DevOps practices, with a focus on cost-efficient, high-performance systems.

Qualifications

• Proven experience in enterprise and data architecture, with a focus on distributed systems and cloud-native design.
• Deep expertise in Kafka, Spark/Flink, Iceberg/Delta, and columnar data warehouses.
• Strong understanding of microservices, SOA, event-driven architecture, and DevOps practices.
• Exceptional communication and leadership skills, with the ability to influence across technical and executive levels.
• Intrinsic motivation to be a factor distinguishing successful candidates in this role.

Responsibilities

• Define and communicate the enterprise architecture vision and roadmap aligned with business goals.
• Drive standardization, interoperability, and modernization across systems and platforms.
• Lead architecture governance processes, including architecture review boards and compliance standards.
• Design and operate scalable, low-latency data platforms with strict uptime SLOs.
• Architect cross-region, multi-cloud data solutions (AWS, GCP, Azure) with seamless mobility and replication.
• Lead ML productization efforts including feature stores, online inference, and real-time feedback loops.
• Provide hands-on technical leadership, mentoring development teams and growing Staff-level engineers.
• Guide VP/C-suite stakeholders with business-first architecture narratives and strategic recommendations.
• Foster a culture of innovation, collaboration, and continuous learning.
• Define cloud-native architecture strategies and automation practices using DevOps and Platform-as-a-Product approaches.
• Build reference implementations and prototypes to validate architectural patterns.
• Establish integration architectures for real-time data sharing and business process automation.
• Lead company-wide data governance automation: lineage-as-code, policy-based access control, and privacy-by-design frameworks.
• Evaluate emerging technologies and contribute to open-source or internal platforms that become organizational standards.
• Optimize technology portfolios and data systems for cost-efficiency and performance at scale.

Skills

Enterprise architecture

Data platform leadership

Cloud-native design

Kafka

Spark/Flink

Iceberg/Delta

SOA / microservices

Leadership

Communication

Intrinsic motivation

Tools

ArchiMate

Enterprise Architect

Confluence

Miro

Draw.io

AWS

GCP

Azure

Data governance tools

Job description

Speridian Technologies is seeking a Principal Engineer, Data Platforms to lead enterprise architecture and scalable data platform initiatives for a California government modernization program. This remote role includes occasional Sacramento-area meetings and close collaboration with cross-functional teams and executives.

Responsibilities span vision, governance, data governance, ML productization, and cloud-native DevOps practices, with a focus on cost-efficient, high-performance systems.