обновлено 3 дня назад
Principal Software Engineer, Data
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Software Engineer, Data (Data Infrastructure): Building foundational data infrastructure, pipelines, data products, and agentic-first lakehouse services for company-wide users with an accent on scalable architecture, governance, and AI-driven data classification. Focus on designing high-scale platforms with Trino, Iceberg, Kubernetes, ClickHouse, PostgreSQL, Go, Python, TypeScript, Rust, and SQL, while leading technical initiatives and mentoring engineers.
Location: Hybrid in Austin, US. Applicants who reach the offer stage may be asked to attend an in-person interview at a office or hub.
Company
operates a global network that protects and accelerates Internet applications for customers ranging from individual bloggers to Fortune 500 companies.
What you will do
- Define and execute strategic technical architecture for highly visible, critical data infrastructure.
- Design and develop tools and services to improve and scale ’s data platform.
- Build data pipelines, data products, and automated service-delivery tooling for teams across the company.
- Lead work across access control, ingestion, AI-driven data classification, governance, dashboarding, and query tooling.
- Become a subject matter expert on data platforms and data usage, supporting stakeholders with complex data needs.
- Mentor engineers and help reinforce a culture of delivery and accountability.
Requirements
- 8+ years of software engineering experience focused on designing, building, and scaling data infrastructure.
- Experience leading technical initiatives across functions and working with multiple stakeholders.
- Extensive experience with data infrastructure at scale, including Trino, Spark, Iceberg or Delta Lake, Kafka, ClickHouse, and PostgreSQL.
- Experience designing, building, and debugging large-scale data pipelines.
- Proficiency in Go, Python, TypeScript, Rust, and SQL.
- Strong analytical and communication skills, including the ability to explain technical concepts to technical and non-technical audiences.
Nice to have
- Experience with Airflow, dbt, Kubernetes infrastructure, data governance, privacy, and auditability.
- Knowledge of machine learning models and MLOps.
- Experience with agentic development workflows and an AI-first approach.
Culture & Benefits
- Work in a small, growing team with significant impact on ’s company-wide data platform.
- Medical, dental, and vision insurance, flexible spending accounts, and family-forming benefits.
- Mental health support, employee assistance, and global travel medical insurance.
- 401(k), disability and life insurance, and employee stock participation.
- Flexible paid time off and parental, medical, pregnancy health, and bereavement leave programs.
- Eligibility to participate in ’s equity plan.
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