4 дня назад
Sr. Engineering Manager - Data Platform
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Engineering Manager - Data Platform (Data Infrastructure/Data Engineering): Building reliable, scalable, secure, and developer-friendly data infrastructure covering ingestion, processing, storage, compute, orchestration, and observability with an accent on platform architecture, governance, resilience, and developer workflows. Focus on leading a data platform engineering team, defining APIs and SLAs, improving pipeline reliability, and solving complex scalability, security, disaster recovery, and cost optimization challenges.
Location: United States; remote workplace
Company
provides an AI-powered business operating system for agencies, entrepreneurs, and small and medium-sized businesses, supporting automation, conversations, intelligence, and data-intensive operations at global scale.
What you will do
- Lead, recruit, mentor, and develop a high-performing data platform engineering team.
- Set the strategy, architecture, roadmap, and technical direction for data ingestion, processing, storage, compute, orchestration, and observability.
- Define platform abstractions, APIs, service-level agreements, data quality standards, and developer workflows.
- Improve infrastructure resilience through monitoring, incident management, disaster recovery, security controls, governance, and cost optimization.
- Partner with Product, Data, Finance, Security, Audit, Analytics Engineering, and other organizations on multi-quarter initiatives.
- Build organizational standards that support machine learning, experimentation, business reporting, and data-powered products.
Requirements
- 10+ years of experience in software engineering, SRE, infrastructure, data platform engineering, or a related field.
- 4+ years of experience managing, growing, and developing high-performing technical teams.
- Deep expertise with Snowflake, Google BigQuery, Databricks, or equivalent modern data warehousing systems, plus tools such as Airflow and dbt.
- Strong understanding of data warehousing, infrastructure workload management, data security, platform SLAs, and governance frameworks.
- Familiarity with Git and CI/CD workflows.
- Strong stakeholder management, communication, and cross-organizational technical influence skills.
Nice to have
- Experience delivering customer-facing data products and scaling platform organizations during rapid growth.
- Experience with event-driven data architectures, experimentation platforms, machine learning initiatives, data science, and product analytics.
- Knowledge of metrics governance and executive KPI frameworks.
Culture & Benefits
- Remote-first environment with team members across more than 10 countries.
- Culture centered on ownership, initiative, clarity, execution, technical rigor, and continuous development.
- Opportunity to work on infrastructure supporting more than 1 million businesses and billions of daily API and message events.
- Focus on building leadership succession, delegated autonomy, and professional growth.
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