2 дня назад
Data Engineering Manager (AI)
190 000 - 330 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Manager (AI) (Modern Data Stack): Leading the development and scaling of data pipelines and infrastructure supporting analytics, AI/ML, and core business operations with an accent on team leadership, data architecture, and reliability. Focus on designing scalable data systems, driving data quality and deployment automation, and integrating evolving cloud, orchestration, and warehousing technologies.
Location: United States · Remote
Compensation: $190,000–$330,000 annually for comparable US management-level data engineering roles.
Company
is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.
What you will do
- Lead and grow a data engineering team, set technical direction, conduct code reviews, and build a culture of reliability and continuous improvement.
- Own the design and delivery of data pipelines and infrastructure supporting analytics, AI/ML, and core business operations.
- Partner with data science, analytics, and product teams to translate business requirements into scalable data architecture.
- Drive best practices for data quality, testing, documentation, monitoring, and deployment automation.
- Manage the technical roadmap and prioritization across feature delivery, platform maintenance, and technical debt.
- Evaluate new tools and technologies while communicating trade-offs and progress to cross-functional stakeholders.
Requirements
- 5+ years of data engineering experience, including 2+ years in a team lead or management role.
- Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, and Redshift.
- Experience with workflow orchestration and modern data tools, including Airflow, dbt, or Dagster.
- Ability to hire, mentor, and develop engineering talent and provide and receive feedback.
- Track record of delivering robust, maintainable data systems at scale, with knowledge of data quality, monitoring, and incident response.
- Strong communication skills and experience working in fast-moving environments with changing priorities.
Culture & Benefits
- Permanent remote work from the United States.
- Opportunities are considered for ’s candidate network and may arise as relevant roles become available.
- Work involves collaboration across data engineering, data science, analytics, product, and business leadership.
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