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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия дает серьезные задачи по архитектуре Databricks и доступ к актуальным AI/ML-сценариям, но широкий объем обязанностей и консалтинговый формат оставляют меньше ясности по нагрузке и длительности проекта.
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Широкий круг задачАктуальный стекВлияние на платформуКонсалтинговый форматAI-направление
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Текст:
Hirify AI/Оригинал
TL;DR
Data Architect (Databricks) (Data Engineering/AI): Designing and developing a modernized Databricks platform with an accent on medallion architecture, data quality, CI/CD promotion, and AI/ML enablement. Focus on building governed feature pipelines, reconciliation contracts, GenAI/RAG capabilities, model-serving architecture, and secure enterprise release workflows.
Location: Remote in LATAM
Company
hirify.global is a global digital engineering, product development, and technology consulting company headquartered in New York, with more than 1,000 experts across 65+ countries.
What you will do
Design and develop the Databricks Platform Modernization initiative, including greenfield medallion architecture, entity relationship models, data contracts, cleansing, deduplication, and merge logic.
Build environment promotion workflows across development, QA, and production, including deployment pipelines, validation gates, and release governance.
Enable UAT for Genie and Lakeview dashboards, resolve defects, and contribute reusable components to the shared Databricks platform template.
Design data quality, monitoring, reconciliation, and machine-checked data conservation contracts.
Design Unity Catalog-governed feature pipelines and ML-ready data layers, integrating MLflow experiment tracking and model registry into the promotion model.
Evaluate and pilot GenAI and agentic capabilities, including vector search, RAG pipelines, model-serving endpoints, and AI-assisted engineering tools.
Requirements
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
10+ years of experience in data engineering and data architecture roles.
4+ years of hands-on experience with Databricks.
Strong knowledge of AWS cloud platforms.
Hands-on knowledge of Delta Lake medallion architecture, Unity Catalog schema and metric-view design, Databricks Asset Bundles, Databricks Jobs orchestration, freshness and volume monitoring, DataPact contracts, and DQX checks.
Experience designing GitHub Actions-based CI/CD promotion pipelines, Databricks Asset Bundle validation gates, and OIDC-based cloud authentication instead of long-lived secrets.
Experience designing formal data reconciliation contracts for cross-system parity and versioned-state recovery.
Exposure to LLMs, Generative AI concepts, prompt engineering, and AI-assisted development tools.
Excellent written and verbal communication skills in English; ability to lead discussions with technical and business representatives, work independently, and collaborate in international project teams.
Nice to have
Experience in the insurance industry.
Culture & Benefits
Remote work from LATAM within a global, multinational company.
Participation in international projects and collaboration with Enterprise Architecture, ML, and cross-domain teams.
Ongoing knowledge transfer, documentation, team upskilling, and onboarding support.
Work within a formal peer-reviewed production release and enterprise change-control process.
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