14 часов назад
Engineering Manager, Data Platform
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager, Data Platform (Data Infrastructure): Building and scaling self-serve data infrastructure and tooling for analytics, data science, and data engineering workloads with an accent on ingestion, transformation, orchestration, observability, and governance. Focus on defining the technical roadmap, designing reliable platform capabilities, contributing hands-on code, and growing a high-performing engineering team.
Location: Remote, United States
Company
provides advertising software that helps brands run measurable campaigns across Connected TV, web, and mobile.
What you will do
- Lead the Data Platform team in designing, building, and maintaining infrastructure and tooling for analytics, data science, and data engineering workloads.
- Define the technical roadmap and architecture in partnership with the Principal Engineer.
- Collaborate with data science, analytics, product, and engineering teams to turn user needs into platform capabilities.
- Improve the reliability, scalability, usability, observability, and governance of data ingestion, transformation, and orchestration systems.
- Provide hands-on technical leadership through design discussions, code reviews, and code contributions.
- Hire, coach, and develop engineers while communicating roadmap priorities and progress to stakeholders.
Requirements
- 7+ years of software engineering experience, including 2+ years leading teams or projects.
- Experience building internal platforms or developer tools, preferably in a data-intensive environment.
- Strong understanding of data orchestration, warehousing, streaming, and transformation tools, including technologies such as Airflow, Dagster, BigQuery, Snowflake, Kafka, and SQLMesh.
- Proficiency with AWS or GCP, containers, and infrastructure-as-code.
- Ability to lead cross-functional workstreams, translate user needs into robust platform capabilities, and apply a product mindset.
- Must be based in the United States; the role is remote.
Culture & Benefits
- People-first culture centered on trust, ambition, quality, radical honesty, and compassionate leadership.
- Focus on technical excellence, ownership, and continuous improvement.
- Opportunity to build a self-serve internal data platform used by data engineers, analysts, and data scientists.
- Hands-on leadership role with ownership of platform direction and engineering practices.
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