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2 дня назад

Engineering Manager, Data Platform (Fintech)

199 000 - 275 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Engineering Manager, Data Platform (Fintech): Leading the Data Storage team in building and operating reliable, scalable, and secure online and analytical data stores and low-latency serving layers with an accent on data architecture, governance, and AI-ready foundations. Focus on defining storage strategies and SLAs, scaling batch and real-time workloads, and developing engineers while maintaining operational excellence.

Location: San Francisco, CA, USA; hybrid work with four days a week in the office and Fridays from home for employees near an office.

Salary: $199,000–$275,000 annual base salary, plus bonus, equity, and benefits.

Company

hirify.global is a financial technology company providing user-friendly banking services and financial tools to help members make financial progress.

What you will do

  • Lead the Data Storage team and own the strategy and roadmap for online and analytical data stores, including Snowflake and data lake platforms.
  • Design scalable, high-performance storage architecture for analytical and latency-sensitive product workloads.
  • Define data access patterns, schemas, data contracts, SLAs, partitioning, clustering, indexing, caching, and serving layers.
  • Build governance and compliance tooling covering RBAC, PII protection, tokenization, lineage, and auditability.
  • Establish operational practices including on-call, incident management, postmortems, and SLOs.
  • Hire, coach, and develop engineers while raising standards for technical excellence and operational reliability.

Requirements

  • 8+ years of experience in high-scale, high-reliability software development focused on platforms, infrastructure, and data storage systems.
  • 3+ years of experience managing engineering teams, including hiring, performance management, and engineer development.
  • Deep experience with data lakes, lakehouses such as Iceberg, data warehouses such as Snowflake, online and offline stores, and batch and real-time streaming systems.
  • Expertise in scalable, secure, and cost-efficient data architecture, including schema design, data modeling, and partitioning.
  • Experience with technologies such as Spark, Flink, Kafka, Airflow, Kubernetes, Python, Java, Scala, SQL, and cloud data ecosystems including AWS, GCP, or Azure.
  • Knowledge of data governance, security, compliance, RBAC, PII handling, auditability, and AI-ready data foundations.

Nice to have

  • Experience introducing modern data storage, lakehouse, and AI/ML-ready data technologies.
  • Experience scaling platforms and operations through rapid growth in data volume, complexity, and criticality.

Culture & Benefits

  • In-office and fully remote programs are available depending on location and eligibility.
  • Comprehensive health, financial, and wellbeing benefits, including backup care and commuter subsidies for eligible employees.
  • Generous vacation policy, company-wide paid days off, and paid parental leave.
  • Annual wellness stipend and family planning reimbursement.
  • Bonus, competitive equity package, and opportunities to work on financial technology used by millions of members.

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