8 часов назад
Director, Platform Engineering (Data Lakehouse)
150 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Platform Engineering (Data Lakehouse): Leading the architecture, delivery, operations, reliability, and scalability of an enterprise Data Lakehouse platform with an accent on cloud infrastructure, governance, and self-service analytics. Focus on building high-performing engineering teams, managing SLAs and platform costs, enabling AI/ML and MLOps, and driving modernization across the data ecosystem.
Location: Remote – U.S.A.
Base salary: $150,000–$200,000 per year, with a possible discretionary incentive program and benefits for full-time employees.
Company
delivers first-party data that helps businesses gain insights, activate audiences, and measure impact.
What you will do
- Lead and grow a cross-functional team of engineers, architects, and data professionals.
- Define enterprise Data Lakehouse platform capabilities based on business and analytics requirements.
- Own platform SLAs, uptime, cost management, reliability, scalability, and quality standards.
- Drive adoption of data engineering, governance, DevOps, and self-service analytics best practices.
- Manage vendor relationships, licensing, and partnerships with AWS, Azure, and GCP providers.
- Ensure compliance with data privacy, security, and regulatory requirements, including GDPR, CCPA, and HIPAA.
Requirements
- 12+ years of experience in data engineering, architecture, or platform leadership.
- 5+ years in a director or senior leadership role managing large technical teams.
- Experience delivering enterprise-scale data platforms using Databricks, Snowflake, Delta Lake, or Apache Iceberg.
- Strong knowledge of AWS, Azure, or GCP cloud infrastructure and the modern data stack.
- Experience with data governance frameworks, data mesh, data product thinking, budget management, and P&L ownership.
- Executive communication skills and the ability to influence cross-functional stakeholders; an MBA or advanced degree is preferred.
Nice to have
- Experience with AI/ML platform enablement and MLOps.
- AWS, Azure, or GCP Data Architect certification.
- Databricks Platform Architect certification.
Culture & Benefits
- Inclusive and accessible workplace with equal opportunity employment practices.
- Accommodations are available throughout the selection process.
- Full-time employment includes medical and other benefits.
- A discretionary incentive program may be available in addition to base compensation.
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