9 дней назад
Data Engineer, VP - Systems and Data Engineering (Snowflake)
160 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer, VP - Systems and Data Engineering (Snowflake): Engineering and operating enterprise Snowflake data platforms and pipelines with an accent on scalability, reliability, data quality, and operational excellence. Focus on designing ETL/ELT architectures, improving observability and governance, and leading complex production incident response across 24x7 business-critical systems.
Location: New York, United States
Expected annual base salary: $160,000–$225,000
Company
is an alternative asset manager with investment strategies across real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries, and hedge funds.
What you will do
- Provide senior technical leadership for enterprise data engineering initiatives and influence architecture and technology decisions.
- Design, evolve, and operate Snowflake-based data platforms supporting ingestion, transformation, orchestration, and delivery.
- Establish standards for ETL/ELT development, metadata management, lineage, observability, automation, and reusable data services.
- Improve data quality through automated validation, monitoring, remediation, governance, and quality metrics.
- Lead production support, root cause analysis, incident response, on-call escalation, and reliability improvements for 24x7 systems.
- Partner with engineering, infrastructure, cybersecurity, architecture, governance, and business teams on roadmaps and platform investments.
Requirements
- 10+ years of experience in data engineering, platform engineering, or related disciplines.
- Significant hands-on experience with Snowflake in large-scale enterprise environments.
- Deep expertise in ETL/ELT architectures, data integration, orchestration frameworks, and modern data platforms.
- Experience supporting business-critical production systems in a 24x7 environment, including major incident response.
- Strong background in data quality, observability, monitoring, operational excellence, and platform reliability.
- Ability to influence engineering organizations through technical leadership without direct people management responsibility.
Nice to have
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Experience with analytics, reporting, AI, and machine learning platforms.
- Experience with Infrastructure as Code, CI/CD, DevOps, and platform automation.
- Familiarity with data governance, lineage, metadata management, and financial-services regulatory requirements.
- Experience working across globally distributed engineering organizations.
Culture & Benefits
- Collaboration across engineering, infrastructure, cybersecurity, architecture, governance, and business functions.
- Medical, dental, vision, and FSA benefits.
- Paid time off, life insurance, and a 401(k) plan.
- Discretionary bonuses and potential eligibility for equity and other incentive compensation.
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