Key skills
Data Platform ArchitectureData GovernanceCloud-native TechnologiesAPIsServicesData Privacy RegulationsStartup ExperienceAI/ML ExposureEffective CommunicationCollaboration SkillsAIMLETLAnalyticsSnowflakeSparkKafkaAirflowdbtAWSAzureGCPEvent StreamingSaaS
About this role
FloQast is the leading Accounting Transformation Platform in accounting workflow automation created by actual former accountants for accountants. As a Senior Staff Engineer, Data, you will drive the design and implementation of FloQast’s core data platform, ensuring a reliable, scalable, and secure data foundation that supports various teams across the organization.
Responsibilities:
- Lead the design of scalable and reliable data pipelines, storage solutions, and access layers using modern cloud-native technologies
- Own and evolve the core data platform components (e.g., event streaming, lakehouse architecture, batch & streaming ETL, data cataloging)
- Define best practices for data quality, lineage, privacy, and access control to ensure regulatory compliance and trust in the data
- Work closely with Product, Analytics, Infrastructure, and Security teams to align data platform capabilities with organizational goals
- Mentor engineers across the organization, establish coding and architectural standards, and influence the strategic direction of the platform
- Evaluate and integrate emerging technologies that improve performance, observability, developer experience, and cost efficiency
Requirements:
- 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