Intetics·Serbia, Remote·4 дн назад
1155 Senior Data Architect (Azure / Databricks / Cosmos DB)
≈ 1 562 000 – 1 829 000 ₽наша приблизительная оценка по 13 вакансиям этой роли и грейда, у работодателя вилка не указана
🌍 УдалённоSeniorПолная занятость🌐 Глобал
Вилки нет, про деньги придётся договариваться с нуля.
Наша компания
Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Data Architect to join its innovative team.
Чем предстоит заниматься
We are seeking a highly experienced Senior Data Architect with demonstrated ownership of enterprise-scale Azure Data Platform architectures. The ideal candidate will be responsible for designing, modernizing, and optimizing complex data environments, while defining clear architectural direction and delivering implementation-ready solutions
This role requires a combination of strategic thinking and hands-on expertise across Azure Data Platform technologies, Databricks, data warehousing, and modern data architecture practices
Design and own enterprise-scale data platform architectures on Azure
Assess existing data environments and identify opportunities to improve scalability, performance, maintainability, and data quality
Define and implement modern data platform architectures using Azure services and Databricks
Design reusable and metadata-driven data ingestion frameworks
Architect and optimize structured and unstructured data processing solutions
Design and maintain scalable data models and analytical platforms
Define both tactical improvements and long-term target-state architectures
Create architecture documentation, technical specifications, and implementation guidelines
Collaborate with engineering teams, stakeholders, and business users to translate requirements into scalable solutions
Establish best practices for data governance, architecture standards, data quality, and platform reliability
Support engineering teams during implementation and architecture adoption
Наши требования
Proven experience as a Data Architect with end-to-end architecture ownership
Strong hands-on experience with the Azure Data Platform
Minimum 4 years of recent Azure experience
Strong expertise with: Azure Synapse Analytics, Azure Data Factory (ADF),Azure Data Lake Storage (ADLS),Azure SQL / SQL Server, Azure Cosmos DB, Databricks
Strong experience with: Data Engineering, Data Warehousing, ETL/ELT architectures, Data Modeling, Incremental Processing, Cloud Data Platforms
Advanced SQL and Python skills
Experience designing and implementing large-scale cloud data solutions
Strong experience working with both structured and unstructured data
Excellent communication and stakeholder management skills
Azure Synapse Expertise
The successful candidate should demonstrate deep knowledge of
Synapse Pipelines
Spark Pools
Serverless SQL
Dedicated SQL Pools
Workload optimization and architecture design
Data lake integration patterns
Large-scale analytical platforms
Azure Cosmos DB Expertise
Strong architecture ownership and decision-making experience
Experience modernizing and improving existing data platforms
Ability to quickly assess complex environments and provide actionable recommendations
Experience designing reusable and scalable ingestion frameworks
Deep understanding of structured and unstructured data processing
Strong data modeling experience for enterprise analytics platforms
Ability to balance short-term business needs with long-term architectural vision
Technology-neutral mindset when selecting tools and services based on requirements, scalability, performance, and cost
Experience producing implementation-ready architecture deliverables
Lakehouse architecture experience
Experience with AI-driven analytics solutions
Data governance and compliance experience
Experience supporting enterprise reporting and analytics environments
Knowledge of modern cloud-native architecture patterns
Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL / SQL Server, Azure Cosmos DB, Databricks, Python, SQL, ETL/ELT, Data Warehousing, Data Modeling
Мы предлагаем
Challenging enterprise-scale projects
Opportunity to drive architecture decisions and platform modernization initiatives
Collaboration with international teams
Long-term cooperation and professional growth opportunities
Innovative and supportive work environment
Дополнительно
Data modeling, Partition key strategy, Indexing, Scalability design, Throughput and RU optimization, Cost optimization, Consistency models, Change Feed, Distributed database architectures