Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$175к-235к/год
$150к$170кмедиана$200к
По похожим ролям (46) ~ $170к/год
На СНГ рынке: $4.2к/мес ($3.5к - $5.9к)
80
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Обязанности описаны понятно, зарплата выше рыночного ориентира, а фокус на востребованных платформах данных выглядит перспективно. При этом стоит учитывать формат работы через кадровую компанию и работу на площадке.
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Через подрядчикаСовременный стекВыше рынкаРабота на месте
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead IT Solutions Engineer (Enterprise Data Platforms): Leading enterprise data platform implementations and complex technology initiatives with an accent on data engineering, platform architecture, governance, and business alignment. Focus on deploying Snowflake, Palantir Foundry, and Ataccama, directing cross-functional teams, and building data warehouse, lakehouse, quality, lineage, and cataloging capabilities.
Location: Concord, California, United States
Salary: $174,700–$235,000 annually
Company
hirify.global provides staffing and technology professionals for enterprise assignments.
What you will do
Lead complex, data-driven technology initiatives across the full project lifecycle.
Direct enterprise-scale implementations of Snowflake, Palantir Foundry, Ataccama, and other data management platforms.
Provide project and program governance aligned with organizational goals, timelines, and budgets.
Oversee delivery using Agile/Scrum and Waterfall frameworks, including resource allocation, risk mitigation, and dependency tracking.
Collaborate with data engineers, architects, governance teams, and business stakeholders on data engineering and platform architecture.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
8+ years managing complex technology or data-driven projects, including 5+ years leading enterprise data platform implementations.
Experience with Palantir Foundry, Snowflake, Ataccama, and at least one major cloud environment: AWS, Azure, or GCP.
Knowledge of ETL/ELT, pipeline orchestration, data modeling, Master Data Management, data quality, lineage, and cataloging.
Experience working with data privacy and compliance frameworks in regulated or large-scale enterprise environments.
Nice to have
Master’s degree or certifications such as PMP, PgMP, Scrum Master, or SAFe Agilist.
Experience in utilities, energy, healthcare, financial services, or other heavily regulated industries.
Familiarity with AI/ML enablement.
Culture & Benefits
Temporary assignments lasting 13 weeks or longer may include medical, dental, vision, and 401(k) benefits.
Statutory sick pay is provided where required.
Reasonable accommodations are available throughout the employment process.
Employment eligibility verification may be conducted in certain locations.
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