Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Средняя
$220к-230к/год
$190к$220кмедиана$250к
По похожим ролям (50) ~ $220к/год
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Крутая вакансия
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Чётко очерченная руководящая роль в data engineering сочетает работу с платформой, наставничество и взаимодействие с инвестиционными командами; основные практические ограничения - гибридный формат и согласование удалённых дней с руководителем.
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Ограниченная удалёнкаСовременный стек данныхПонятная зона ответственностиДанные для инвестиций
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director of Engineering, Investment Data & Analytics (Snowflake/DBT/Azure): Leading the design of cloud data platforms and pipelines for private markets investment data, with an accent on data quality, lineage, and scalable architecture. Focus on partnering with investors and quantitative researchers to turn ambiguous investment problems into production-grade technical solutions and mentoring engineering talent.
Location: Boston, hybrid work arrangement (office presence expected; 18 remote workdays per quarter at discretion with manager approval). Posted salary range does not apply outside the U.S.
Salary: $220,000–$230,000 base (USD), plus discretionary annual bonus and eligibility for long-term reward programs.
hirify.global is a global private markets investment firm with 40+ years of history and a collaborative, low-turnover culture.
Own design and delivery of data pipelines and data models across financial/economic datasets using modern data stacks.
Lead the build-out of reliable, secure cloud data systems supporting investment, fund, and portfolio workflows.
Establish data quality standards for accuracy, lineage, observability, and service levels across core investment datasets.
Mentor engineers, lead design and code reviews, and set engineering standards.
Partner with investors and researchers to turn ambiguous investment problems into working technical solutions, including AI-driven digitization of unstructured data and systematic portfolio monitoring.
Proven experience designing, building, and operating cloud data platforms in production, including complex batch and incremental processing.
Strong proficiency with SQL, Python, Snowflake (or equivalent cloud warehouses), DBT, pipeline orchestration tools such as Dagster or Airflow, and Azure data tooling.
Depth in data modeling, ETL/ELT frameworks, data quality, testing, observability, and production support, with sound architectural trade-off judgment.
Track record leading significant technical workstreams end-to-end, mentoring engineers, and delivering data products used by investment, finance, or operations teams.
8+ years of data engineering and software delivery experience preferred.
3–5 years of technical project leadership experience, partnering directly with investment, finance, and operations teams.
B.S. or M.S. in Computer Science (or equivalent) preferred.
Hybrid work: 18 remote workdays per quarter, subject to manager approval.
Comprehensive total rewards: retirement contributions, health insurance, income protection, paid time off and leave benefits, well-being programs.
Eligibility for discretionary annual bonus and long-term reward programs (typically for more senior-level roles).
Equal opportunity employer with a commitment to inclusion and diversity.
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