Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь много задач по архитектуре Snowflake и AI, но роль объединяет техническое руководство, клиентские проекты, аналитику и пресейл, что может означать высокую нагрузку в консалтинге.
Слишком широкий охват
Клиентский консалтинг
Актуальный стек данных
Развитие в AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager, Analytics & Solutions Architecture (Snowflake): Designing Snowflake-based data, analytics, AI, and GenAI solutions while leading engineering and consulting teams with an accent on platform architecture, legacy warehouse migrations, and client delivery. Focus on architecting Cortex solutions, optimizing performance and cost, translating business goals into measurable outcomes, and supporting complex pre-sales engagements.
Location: Remote, LatAm 2
Company
hirify.global is a data and AI consulting firm and Snowflake Elite Partner helping enterprise clients modernize data platforms, build decision-driving analytics, and deploy AI and Generative AI on Snowflake.
What you will do
Design end-to-end Snowflake data and analytics architectures covering ingestion, transformation, semantic layers, BI, and AI use cases.
Lead legacy warehouse migrations from Oracle, Teradata, Netezza, SQL Server, and Hadoop, including assessment, strategy, and cutover planning.
Architect and oversee AI and GenAI solutions using Snowflake Cortex and related tooling.
Lead, mentor, and develop Data Engineers, Analytics Engineers, BI Developers, and Consultants; run code and design reviews.
Oversee concurrent client engagements, including scope, timelines, risks, quality, roadmaps, KPIs, and stakeholder presentations.
Support pre-sales through discovery, solution design, estimation, pricing, SOWs, proposals, accelerators, and client workshops.
Requirements
12+ years in data engineering, analytics, or BI, including significant client-facing consulting, pre-sales, or post-sales experience.
4+ years leading technical teams, with experience mentoring and developing engineers.
Deep hands-on Snowflake experience in architecture, performance tuning, and cost management.
Expert SQL skills and working proficiency in Python.
Strong experience with dbt and modern data stack tools such as Fivetran, Matillion, or Airflow.
Experience with legacy data warehouse platforms and migration projects.
Hands-on experience with BI tools such as Power BI, Tableau, Sigma, or Looker.
Experience scoping projects, estimating effort, and writing SOWs.
Experience designing and delivering enterprise AI or GenAI use cases.
Excellent communication with technical and executive audiences.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
Nice to have
Snowflake SnowPro Advanced: Architect or Data Engineer certification.
Experience with Snowflake Cortex, Snowpark, or Streamlit in Snowflake.
Cloud experience across AWS, Azure, or GCP.
Background in data governance, data quality, or semantic layer design.
Experience in a data consulting firm or Snowflake partner.
Industry exposure in financial services, healthcare, retail, or manufacturing.
Culture & Benefits
Remote work for the LatAm 2 location group.
Player-coach role combining architecture, team leadership, analytics, client delivery, and pre-sales.
Opportunity to influence reusable accelerators, frameworks, and delivery methodologies.
Success is measured through client business outcomes, delivery quality and timeliness, team growth, and stronger pre-sales conversion.
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