2 дня назад
Analytics Engineering Manager (Fintech)
220 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineering Manager (SQL/Databricks/dbt): Leading a team that transforms raw data into reliable pipelines, analytical models, and actionable insights for product, marketing, and business operations with an accent on data quality, governance, and scalable analytics infrastructure. Focus on architecting data transformation pipelines, optimizing cloud-based analytics systems, and developing high-performing technical teams.
Location: United States (Remote); remote-friendly within the US
Salary: $220K–$260K annually, plus equity
Company
is a consumer fintech platform offering banking, high-yield savings, credit cards, point-of-sale lending, investing, crypto, and embedded financial services.
What you will do
- Lead, mentor, and grow a team of analytics engineers building and maintaining data pipelines and analytical models.
- Partner with Product, Engineering, Growth, and Operations to deliver scalable data solutions and reporting.
- Establish data best practices, governance, quality standards, testing, and documentation.
- Design and optimize analytics infrastructure for reliability and scalability.
- Prioritize analytics projects, oversee delivery, and communicate with stakeholders.
Requirements
- 7+ years of experience in data engineering, analytics engineering, or business intelligence, including 2+ years in technical leadership or management.
- Advanced expertise in SQL, Databricks, and dbt.
- Experience architecting and scaling data transformation pipelines in modern cloud environments.
- Strong understanding of data modeling, analytics testing, and documentation.
- Experience collaborating with Product, Engineering, and Marketing stakeholders to deliver business impact.
- Experience leading and developing high-performance technical teams; a proactive builder and executor.
Nice to have
- Familiarity with modern software engineering practices and the ability to ramp up on Node, TypeScript, NestJS, Kubernetes, AWS, and React Native.
- Experience with AI-assisted development tools such as Claude Code or Cursor.
Culture & Benefits
- Competitive base salary, stock options, and health benefits from Day 1.
- 401(k) plan with company match.
- Flexible time off and opportunities for professional growth.
- High-growth, mission-driven, inclusive environment with direct product and business impact.
Hiring process
- Initial interview with a Talent Partner.
- Technical or Hiring Manager interview, followed by a team interview.
- Executive interview and offer.
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