Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$160к-267к/год
$150к$190кмедиана$200к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $3.8к/мес ($2.9к - $4.3к)
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Отличная вакансия
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Это хорошо очерченная руководящая роль в data engineering с современным облачным стеком, стратегическим влиянием и зарплатой выше ориентира платформы. Широкий диапазон оплаты оставляет неопределённость по конкретному предложению.
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Разброс зарплатыСовременный стекВыше ориентираПонятная зона ответственности
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
VP, Principal Data Engineer (Fintech): Designing and modernizing enterprise-scale cloud-native data platforms, pipelines, and real-time streaming solutions for Reporting, Statements and Letters platforms serving millions of investors with an accent on AWS, Snowflake, Python, and event-driven architectures. Focus on leading technical strategy, building scalable data products, improving platform reliability, and driving cloud modernization across engineering teams.
Location: Fort Mill/Charlotte, United States; other location listed: New York
Salary: $159,959–$266,564 per year
Company
hirify.global is a U.S. wealth management firm providing financial advisor platforms, investment solutions, fintech tools, and practice management services.
What you will do
Lead delivery of scalable, high-quality, and cost-effective enterprise data solutions.
Architect and build cloud-native platforms for large-scale ingestion, transformation, validation, and distribution.
Design and optimize ETL/ELT pipelines using Python, AWS, Snowflake, DBT, Airflow, and related technologies.
Develop event-driven and real-time processing solutions with Kafka, EventBridge, SQS, and SNS.
Modernize legacy platforms and establish technical roadmaps, engineering standards, reusable frameworks, and best practices.
Lead engineering teams, production issue resolution, reliability improvements, CI/CD adoption, observability, and cloud cost optimization.
Requirements
10+ years designing and developing large-scale ETL/ELT pipelines and data platforms using AWS, Glue, S3, RDS/Aurora, Snowflake, DBT, and Airflow.
8+ years of hands-on Python data solution development.
6+ years building event-driven and streaming architectures with Kafka, EventBridge, SQS, and related technologies.
6+ years working with relational and NoSQL databases, including performance tuning and optimization.
6+ years using source control, CI/CD, and DevOps tools such as GitHub, TeamCity, Jenkins, or Octopus.
Technical leadership, architectural decision-making, stakeholder management, and experience leading high-performing teams.
Nice to have
5+ years in financial services, wealth management, or brokerage.
Experience with AI-assisted development tools, Terraform, infrastructure automation, data lakes, and enterprise cloud modernization.
AWS Associate-level certification.
Experience developing APIs and microservices with .NET.
Culture & Benefits
Collaborative environment focused on innovation, accountability, and continuous improvement.
401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
Opportunity to influence enterprise data strategy and improve the investor experience at scale.
Hiring process
Applicants are contacted directly only from an @lplfinancial.com email address.
LPL does not conduct interviews through chatroom forums and does not request payment or banking information during interviews.
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