обновлено 5 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) (Databricks/Azure): Designing enterprise-scale Data & Analytics platforms on the Databricks Lakehouse Platform within Azure environments with an accent on scalable batch and streaming architectures, data governance, and cloud-native modernization. Focus on translating business requirements into solution architectures, supporting pre-sales and migration planning, and building real-time data processing solutions with Kafka, Azure Event Hub, and Databricks Structured Streaming.
Location: Ukraine; remote or office work
Company
delivers enterprise technology solutions and helps organizations modernize and scale data platforms.
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 in 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, streaming, and real-time data architectures and support projects from discovery and proof of concept through production.
Requirements
- Proven experience as a Data Architect working with enterprise-scale Data & Analytics platforms.
- Strong experience designing Databricks architectures and data solutions in Azure.
- Hands-on knowledge of Delta Lake, Unity Catalog, Workflows, Jobs, and SQL Warehouses.
- Experience with Azure data services including ADLS Gen2, Azure Data Factory, Microsoft Fabric, and Azure SQL.
- Advanced SQL and Python skills, plus experience with Apache Kafka, Azure Event Hub, and Databricks Structured Streaming.
- Customer-facing and pre-sales experience, knowledge of data governance, and upper-intermediate or higher English.
Culture & Benefits
- Remote or office-based work arrangement.
- Participation in the full project lifecycle, from discovery and proof of concept to MVP and production implementation.
- Work across customer, delivery, and technical stakeholder groups.
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