Sr. Data Architect, Large Scale Distributed Systems

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Data Architect, Large Scale Distributed Systems in the United States.

This role is focused on designing and evolving mission-critical distributed systems that operate at extreme scale, supporting tens of millions of connected sensors and high-throughput event processing pipelines. You will define the architectural backbone for real-time and batch data platforms that process massive volumes of events across globally distributed environments. Working at the intersection of engineering, data, security, and product, you will shape how large-scale systems are built for scalability, resilience, and performance. This is a high-impact technical leadership role where architectural decisions directly influence platform reliability, efficiency, and global security outcomes. You will guide cross-functional teams, establish engineering standards, and drive alignment on complex system design decisions. The environment is highly collaborative, innovation-driven, and focused on solving large-scale distributed computing challenges.

Accountabilities

In this role, you will define and lead the architecture for large-scale distributed systems designed to ingest, process, and analyze high-velocity data streams at massive scale. You will set technical direction across data platforms, ensuring systems are scalable, secure, and optimized for performance and cost. Key responsibilities include:

• Designing distributed architectures capable of processing data from 50M+ connected sensors and high-volume event streams
• Building and optimizing real-time and batch data pipelines for ingestion, transformation, and storage
• Defining architectural standards for scalability, fault tolerance, reliability, and performance optimization
• Leading decisions on streaming, messaging, and data storage technologies across enterprise platforms
• Establishing SLAs, SLOs, observability frameworks, and operational resilience strategies
• Ensuring system designs meet security, compliance, and data governance requirements
• Partnering with engineering, product, and security teams to align architecture with business objectives
• Providing technical leadership, mentorship, and design review oversight across multiple teams

Requirements

This role requires deep expertise in distributed systems architecture and proven experience designing and scaling high-throughput, mission-critical platforms. Candidates should bring strong technical leadership skills and the ability to operate in complex, enterprise-scale environments.

• 10+ years of experience in distributed systems, backend engineering, or data architecture
• Proven success designing and scaling systems to tens of millions of connected devices or equivalent high-scale environments (IoT, telecom, fintech, ad-tech, etc.)
• Strong expertise in distributed systems principles including CAP theorem, consistency models, replication, and partitioning strategies
• Hands-on experience with streaming and messaging systems such as Kafka, Pulsar, or equivalent
• Experience with real-time and batch processing frameworks (e.g., Flink, Spark, Beam)
• Strong knowledge of scalable data stores such as Cassandra, DynamoDB, Bigtable, ClickHouse, or Elasticsearch
• Proficiency in at least one programming language such as Go, Java, Scala, or Rust
• Experience designing multi-region, highly available, low-latency architectures
• Strong communication skills with the ability to influence cross-functional technical strategy
• Preferred experience with IoT platforms, edge-to-cloud systems, or AI/ML data pipelines

Benefits

• Competitive base salary ranging from $187,000 to $349,250, depending on location and experience
• Eligibility for variable compensation and equity participation
• Comprehensive medical, dental, and vision coverage
• Flexible work environment with remote collaboration options
• Flexible time off and paid wellness days
• Volunteer days and annual community engagement opportunities
• Career development and global collaboration opportunities
• Inclusive, innovation-driven engineering culture

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1