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affirm
Страна
США
Зарплата
232 000 $ – 310 000 $
+500% приглашений

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SeniorУдалённоПолная занятость

Senior Manager, Software Engineering (Lake Analytics Platform)

Оценка ИИ

Отличная вакансия в известной финтех-компании с прозрачной структурой оплаты, сильным социальным пакетом и возможностью удаленной работы. Роль предлагает высокий уровень влияния на архитектуру и стратегию компании.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием более 10 лет опыта управления, необходимостью глубокой экспертизы в современных технологиях обработки данных (Iceberg, Spark, Flink) и ответственностью за стратегическое планирование на несколько лет вперед.

Анализ зарплаты

Медиана265 000 $
Рынок220 000 $ – 320 000 $
Оценка ИИ

Предлагаемая зарплата ($232k - $310k) находится на верхнем уровне рыночных ожиданий для позиции Senior Engineering Manager в США, особенно с учетом удаленного формата работы и дополнительных бонусов.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Manager, Software Engineering position for the Lakehouse Analytics team at Affirm. With over a decade of experience leading high-performance engineering teams and a deep background in data infrastructure, I have consistently delivered complex, multi-quarter technical roadmaps that align with both business goals and architectural excellence. My expertise in scaling distributed systems like Spark, Snowflake, and Kafka on Kubernetes, combined with a passion for fostering inclusive and ownership-driven cultures, aligns perfectly with Affirm’s mission to provide trustworthy and cost-efficient data solutions.

Throughout my career, I have successfully managed geographically distributed teams and navigated the complexities of large-scale data processing and workflow orchestration. I am particularly drawn to Affirm’s commitment to transparency and its remote-first culture. I am confident that my experience in stakeholder management and my ability to drive execution in ambiguous environments will allow me to make a significant impact on your Lakehouse Analytics and Privacy Engineering initiatives. I look forward to the possibility of discussing how my leadership can contribute to Affirm's continued growth and innovation.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в affirm уже сейчас

Присоединяйтесь к Affirm, чтобы возглавить развитие инновационной платформы данных и определять будущее финтех-индустрии!

Описание вакансии

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

The Data and Storage Services team is responsible for handling all of Affirm’s Data (OLAP and OLTP) requirements and encompasses the entire range from critical online checkout databases all the way to our Batch Orchestration, Streaming Infrastructure, Event Driven Frameworks, BI and analytics tools and systems. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.

We're looking for an experienced Engineering Leader to lead our growing Data and Storage Services organization, specifically our Lakehouse Analytics team. You will bring a wealth of experience in managing teams and success in delivering highly technical multi-quarter roadmaps. You will also need to be fairly comfortable with ambiguity and possess tools to work through tough deadlines, craft strategy and drive execution. You will be able to work with your teams, as well as product stakeholder teams, to define architectural/organizational future states that we can scale to in the future. You will need to make balanced calls that align with our forward-looking vision and current business & technology critical needs.

What You’ll Do

  • Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products.
  • Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale.
  • Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity.
  • Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects.
  • Work across the engineering organization and with internal and external partners.
  • Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands.
  • Lead technical decisions, projects, and roadmaps within the Lakehouse Analytics, Analytics Engineering and Privacy Engineering teams, shaping Affirm’s strategy for managing and serving orchestration workloads.
  • Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations.
  • In collaboration with tech leads, develop a multi year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs.
  • Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.

What We Look For

  • Solid leadership and interpersonal skills.
  • 10+ years of experience in managing multiple diverse and inclusive teams and delivering large cross-functional technical programs.
  • Proven track record in stakeholder management, ownership, and successful delivery.
  • Expertise in managing large-scale, geographically distributed compute and data processing systems, including data lake solutions and Workflow Orchestration frameworks.
  • Expertise in scaling frameworks like Snowflake, Spark, Flink and, Kafka on Kubernetes and cloud providers like AWS, leveraging storage systems such as AWS S3 and Apache Iceberg.
  • Capable of mentorship, cross-functional project execution, and individual contribution.
  • Strong interpersonal, written, and verbal communication skills with a growth mindset.
  • Experience in the data infrastructure domain and a passion for leading technical teams and contributing to Open Source solutions.
  • This position requires either equivalent practical experience or a Bachelor’s degree in a related field

Pay Grade - R

Equity Grade - 15

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $260,000 - $310,000

USA base pay range (all other U.S. states) per year: $232,000 - $282,000

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: 

  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • AWS
  • Kubernetes
  • Snowflake
  • Apache Spark
  • Kafka
  • AWS S3
  • Apache Iceberg
  • Data Infrastructure
  • Apache Flink
  • Workflow Orchestration

Возможные вопросы на собеседовании

Проверка опыта управления сложными проектами и взаимодействия с бизнесом.

Опишите ваш опыт разработки и реализации многолетней дорожной карты для платформы данных. Как вы расставляли приоритеты между техническим долгом и новыми бизнес-функциями?

Оценка технических знаний в области современных архитектур данных.

Какие основные вызовы вы видите при масштабировании Apache Iceberg и Spark в облачной инфраструктуре AWS, и как вы их решали?

Проверка лидерских качеств и навыков менторства.

Как вы подходите к управлению производительностью и профессиональному развитию как начинающих, так и опытных (Senior/Staff) инженеров в вашей команде?

Оценка навыков работы в условиях неопределенности.

Расскажите о случае, когда вам пришлось принимать критическое архитектурное решение в условиях высокой неопределенности и сжатых сроков. Каков был результат?

Проверка опыта работы с кросс-функциональными командами.

Как вы выстраиваете взаимодействие между командами инженерии данных, безопасности и продуктовыми командами для обеспечения конфиденциальности данных (Privacy Engineering)?

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affirm
Страна
США
Зарплата
232 000 $ – 310 000 $