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Senior Data Platform Engineer

10xgenomics.com Logo

10x Genomics

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Location:
United States , Pleasanton

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

168200.00 - 227600.00 USD / Year
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Job Description:

Join our Data Platform team at 10x Genomics to architect and implement our strategic Unified Data Platform (UDP). This pivotal role is focused on modernizing our data infrastructure, transitioning to a scalable Event-Driven Architecture (EDA), and building the foundation for next-generation AI/ML and self-service analytics.

Job Responsibility:

  • Architect and implement the canonical data layer and Event-Driven Architecture (EDA) using technologies like Apache Iceberg and Kafka to decouple applications and ensure real-time data flow
  • Design, build, and optimize high-volume, code-first data pipelines (real-time and batch) across a large application landscape (e.g., Salesforce, Oracle, Workday)
  • Establish Amazon S3 as the Single Source of Truth (SSOT) and govern data using principles like the Medallion Architecture (Silver and Gold layers) and schema evolution
  • Develop, test, and maintain robust and scalable ELT pipelines and data models in Snowflake, including leveraging advanced features like Snowpipes, Streams, and Stored Procedures
  • Develop the data presentation layer for self-service analytics, including the Natural Language Query (NLQ) interface integrated with Generative AI (e.g., Bedrock)
  • Lead technical efforts to migrate key business domains off legacy middleware and onto the new platform, eliminating the 'Integration Bottleneck'
  • Define and enforce data governance, quality, and security standards across the Unified Data Platform
  • Collaborate with the Architecture Review Board (ARB) to promote modern approaches such as serverless computing and Domain-Driven Design
  • Take ownership of the full development lifecycle, from prototyping and design through deployment, monitoring, and operational excellence

Requirements:

  • Bachelor's degree in Computer Science, Information Management, or a related field, or equivalent experience
  • 5+ years of hands-on experience in software engineering focused on data platform development, distributed systems, or enterprise integrations
  • Proven experience designing and implementing highly scalable data platforms on major cloud environments (e.g., AWS, GCP, or Azure)
  • Deep proficiency in one or more general-purpose programming languages (e.g., Python, Java, or similar)
  • Strong foundation in computer science fundamentals, including data structures, algorithms, and system design

Nice to have:

  • Expertise in message queues and event streaming platforms (e.g., Kafka, RabbitMQ, Pub/Sub) and implementing Event-Driven Architecture
  • Experience with building data lakes/lakehouses using open formats like Apache Iceberg on cloud storage (e.g., Amazon S3)
  • Expertise in modern ELT development, data modeling for OLAP/data warehousing using tools like dbt, and advanced Snowflake features (e.g., Snowpipes, Streams, Stored Procedures)
  • Familiarity with containerization (Docker, Kubernetes) and Infrastructure-as-Code (IaC) principles
  • Prior experience in migrating an organization off a traditional iPaaS platform or eliminating legacy middleware
  • Experience with Generative AI integration for data access (e.g., NLQ, feature stores)
What we offer:
  • Equity grants
  • Comprehensive health and retirement benefit programs
  • Annual bonus program or sales incentive program
  • Health Package
  • Easy-to-use Benefits
  • Family oriented policies including parental leave
  • Generous Time Off
  • Award-Winning Workplace

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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