About the Role
This role involves leading the development and optimization of data pipelines, ensuring data accuracy, scalability, and integration across platforms to support enterprise customers.
Responsibilities
- Design and implement scalable data pipelines for ingestion, transformation, and storage
- Collaborate with cross-functional teams to define data requirements and solutions
- Ensure data quality, consistency, and accessibility across systems
- Optimize data workflows for performance and reliability
- Support the migration of legacy data systems to modern cloud architectures
- Monitor data pipeline health and troubleshoot issues promptly
- Develop and maintain documentation for data processes and systems
- Work closely with data analysts and scientists to fulfill data needs
- Implement data governance and security best practices
- Contribute to architectural decisions for data platforms
- Evaluate and integrate new data technologies and tools
- Automate repetitive data engineering tasks
- Ensure compliance with data privacy and regulatory standards
- Participate in code reviews and system design discussions
- Mentor junior engineers and share technical expertise
- Drive initiatives to improve data observability and monitoring
- Support production data systems with on-call responsibilities as needed
- Collaborate on disaster recovery and data backup strategies
- Improve data lineage tracking and metadata management
- Work with product teams to deliver data-driven features
Nice to Have
- Master’s degree in computer science or related field
- Experience in the cybersecurity or compliance software industry
- Deep knowledge of real-time data processing systems
- Contributions to open-source data engineering projects
- Experience with data observability tools
- Familiarity with Terraform or other infrastructure-as-code tools
- Background in SaaS platforms with multi-tenant data architectures
- Certifications in cloud data services or data engineering
- Leadership experience in technical architecture decisions
- Public speaking or conference presentation experience
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid remote work model with flexibility based on location and role needs
Team
Collaborative engineering team focused on scalable data infrastructure and product reliability
Our Data Stack
- We use a modern cloud-native data architecture built on GCP, leveraging BigQuery, Pub/Sub, Dataflow, and Cloud Composer
- Our pipelines process both batch and streaming data to support real-time analytics and reporting
- We prioritize data observability using automated monitoring and alerting systems
Engineering Culture
- We value clean code, peer review, and continuous improvement
- Engineers are encouraged to propose and lead technical initiatives
- We maintain a blameless postmortem culture to learn from incidents
Professional Development
- We support ongoing learning through conference attendance, courses, and internal tech talks
- Engineers have dedicated time for innovation and technical debt reduction
- Mentorship and career growth are integral to team structure
Diversity and Inclusion
- We are committed to building a diverse and inclusive workplace
- Our hiring practices aim to reduce bias and promote equitable opportunities
- Employee resource groups support community and belonging
Benefits and Perks
- Comprehensive health, dental, and vision insurance
- 401(k) plan with company matching
- Generous paid time off and parental leave policies
- Flexible work hours and remote-friendly policies
- Annual learning and wellness stipends
Visa sponsorship may be available for qualified candidates
