5 дней назад
Senior Manager, Data Engineering
146 100 - 206 010$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Data Engineering (Azure Data Factory/Snowflake): Leading a data engineering team and owning ingestion and pipeline infrastructure from heterogeneous raw sources through curated analytics-ready layers with an accent on architecture, reliability, and roadmap delivery. Focus on designing scalable ingestion patterns, aligning pipelines with dimensional models, and solving complex technical and team capacity challenges.
Location: Remote, United States; company address in Carlsbad, California
Salary: USD 146,100–206,010 per year, plus bonus eligibility
Company
creates athletic apparel inspired by an active coastal California lifestyle, combining performance functionality with casual everyday design.
What you will do
- Lead and grow a data engineering team through hiring, mentoring, career development, and performance management.
- Own the technical roadmap and strategy for data ingestion and pipeline architecture.
- Partner with data modeling, analytics, product, and business leadership to prioritize data engineering initiatives.
- Align raw ingestion and curated pipeline outputs with semantic and dimensional data models.
- Set engineering standards for sprint planning, code reviews, testing, on-call response, and reliability.
- Guide architecture decisions using Azure Data Factory, Snowflake, and API or file ingestion patterns.
Requirements
- Experience managing and growing a data engineering team, including hiring, coaching, and performance management.
- Strong hands-on experience with pipeline design, ingestion patterns, and cloud data warehousing.
- Experience with Azure Data Factory and Snowflake.
- Experience setting technical roadmaps and prioritizing competing initiatives and stakeholders.
- Strong communication and stakeholder management skills with analytics, product, and business leadership.
- 8+ years of experience in data engineering or a related field, including formal people-management experience.
Nice to have
- Experience scaling a data engineering team through significant growth.
- Familiarity with dbt, Terraform, ARM/Bicep, and CI/CD practices.
- Experience managing vendor relationships or tooling budgets.
- Exposure to real-time analytics or streaming technologies.
Culture & Benefits
- Health insurance and an employee assistance program.
- Savings and retirement plan.
- Paid time off.
- discounts, industry perks, and wellness and fitness benefits.
- Equal opportunity and affirmative action employment practices.
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