7 дней назад
Big Data Architect (Databricks + Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Big Data Architect (Databricks + Azure) (Data & Analytics): Designing enterprise-scale data and analytics platforms on Databricks and Azure with an accent on scalable batch and streaming architectures, cloud-native services, and data governance. Focus on translating business requirements into solution architectures, shaping migration roadmaps, supporting pre-sales engagements, and implementing real-time processing with Kafka, Azure Event Hub, and Databricks Structured Streaming.
Location: Poland; work format: remote or office
Company
Engineering & Technology organization focused on enterprise Data & Analytics solutions.
What you will do
- Design and support implementation of enterprise-scale Data & Analytics platforms using Databricks and Azure.
- Translate business and technical requirements into scalable solution architectures and implementation approaches.
- Collaborate with customers, delivery teams, and stakeholders during discovery workshops, architecture discussions, and solution planning.
- Support pre-sales through technical proposals, architecture presentations, demos, and solution assessments.
- Define migration strategies, high-level estimates, Statements of Work, and roadmap proposals.
- Design batch and streaming architectures and contribute to data governance, from discovery and proof of concept through production implementation.
Requirements
- Proven experience as a Data Architect working with enterprise-scale Data & Analytics platforms.
- Strong experience designing Databricks architectures in Azure environments, including Delta Lake, Unity Catalog, Workflows, Jobs, and SQL Warehouses.
- Knowledge of Azure data services including ADLS Gen2, Azure Data Factory, Microsoft Fabric, and Azure SQL.
- Advanced SQL and Python skills with practical data engineering and analytics experience.
- Experience with real-time architectures using Apache Kafka, Azure Event Hub, and Databricks Structured Streaming.
- Upper-intermediate or higher English proficiency required.
Culture & Benefits
- Participation in the full project lifecycle, from discovery and proof of concept to MVP and production.
- Collaboration with customers, delivery teams, and technical and business stakeholders.
- Remote or office work format available in Poland.
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