2 дня назад
Senior Manager, Data Engineering
154 500 - 252 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Data Engineering (Data Platforms): Building trusted, reusable data products, pipelines, and Medallion datasets that power analytics, experimentation, AI, and decision-making with an accent on scalable architecture, governance, reliability, and engineering standards. Focus on leading architecture reviews, delivering multiple cross-functional initiatives, and growing a high-performing Data Engineering team.
Location: Primary residence in or near an approved city in the United States, Canada, or Mexico; occasional in-person attendance is required.
Salary: $154,500–$252,000 USD annually in the United States outside California; California range is $187,000–$265,000, and Canada range is $165,000–$248,000 CAD. The position is also eligible for equity and benefits.
Company
operates digital content products including , Slideshare, Everand, and Fable.
What you will do
- Lead technical delivery and people management for the Data Engineering team building pipelines, trusted Medallion datasets, and reusable data products.
- Set standards for data modeling, pipeline design, reliability, observability, and operational excellence.
- Guide architecture discussions, design reviews, and major technical decisions.
- Coordinate multiple initiatives, dependencies, priorities, and predictable production delivery.
- Coach and develop Data Engineers while building a culture of ownership and continuous improvement.
- Partner with Product, Analytics, Data Science, Engineering, and Data Platform teams on scalable data solutions.
Requirements
- 10+ years of experience in Data Engineering, Data Platform, or related data roles.
- 3+ years leading engineering teams, including coaching, performance management, and organizational development.
- Expertise in scalable data platforms, production-grade pipelines, dimensional modeling, and data architecture.
- Advanced SQL and strong experience with Python, Scala, or similar programming languages.
- Experience with Spark and modern cloud data platforms such as Databricks, Delta Lake, Snowflake, or BigQuery.
- Experience leading complex cross-functional initiatives, architecture discussions, and engineering design reviews.
Nice to have
- Experience with data governance, lineage, or metadata management.
- Experience supporting AI, ML, or analytics workloads through high-quality data foundations.
- Experience in subscription, payments, or consumer product domains.
Culture & Benefits
- Flex provides a flexible work model balanced with intentional in-person collaboration.
- Health, dental, vision, mental health, disability, and family support benefits.
- Paid vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
- Retirement matching, employee equity, learning programs, and professional development opportunities.
- Wellness and home office stipends, product access, and enterprise access to AI tools.
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