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Senior Staff Engineer, Data

FloQast· Engineering
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Hybrid (San Jose, California)$188k - $282kFull-timePosted 11mo ago

About the role

Senior technical leader responsible for designing and evolving FloQast's core data platform and lakehouse stack, with Apache Spark at the heart of the compute layer. Drives architecture, governance, and tooling to support scalable, secure data ingestion, processing, and access across product and analytics systems.

Responsibilities

  • Data Platform Architecture: Lead the design of scalable and reliable data pipelines, storage solutions, and access layers using modern cloud-native technologies.
  • Foundational Systems: Own and evolve the core data platform components (e.g., event streaming, lakehouse architecture, batch & streaming ETL, data cataloging).
  • Data Governance: Define best practices for data quality, lineage, privacy, and access control to ensure regulatory compliance and trust in the data.
  • Cross-functional Collaboration: Work closely with Product, Analytics, Infrastructure, and Security teams to align data platform capabilities with organizational goals.
  • Technical Leadership: Mentor engineers across the organization, establish coding and architectural standards, and influence the strategic direction of the platform.
  • Innovation & Modernization: Evaluate and integrate emerging technologies that improve performance, observability, developer experience, and cost efficiency.

Qualifications

  • 10+ years of software engineering experience with deep expertise in data infrastructure, distributed systems, or backend platform engineering.
  • Proven track record of designing and delivering production-grade data platforms at scale (e.g., supporting hundreds of TBs of data, thousands of jobs/day).
  • Strong experience with tools like Snowflake, dbt, Kafka, Airflow, Spark, and cloud-native technologies (e.g., AWS, GCP, or Azure).
  • Hands-on experience building APIs and services for data access, metadata management, and platform observability.
  • Familiarity with data privacy regulations (GDPR, SOC2, HIPAA) and enterprise-grade security practices.
  • Effective communicator and collaborator who can influence engineering and non-engineering audiences alike.
  • Experience in a startup or high-growth SaaS environment.
  • Exposure to AI/ML data pipelines or real-time analytics platforms.

Skills

Required:Data Platform ArchitectureDistributed SystemsSpark (PySpark/Scala)

Benefits

  • Medical
  • Dental
  • Vision
  • Family Forming benefits
  • Life & Disability Insurance
  • Unlimited Vacation
Last updated Oct 21, 2026. Interested? Apply on the company site.

About FloQast

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