1155 Senior Data Architect (Azure / Databricks / Cosmos DB)

Job description

# 1155 Senior Data Architect (Azure / Databricks / Cosmos DB) > Intetics · Serbia (Remote) · — · Posted 2026-09-08 **Workplace:** remote ## Description **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.** ### About the Role 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. ### Responsibilities - 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. ### Must Have - 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 Hands-on experience with: - Data modeling, Partition key strategy, Indexing, Scalability design, Throughput and RU optimization, Cost optimization, Consistency models, Change Feed, Distributed database architectures ### What We're Looking For - 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. ### Nice to Have - 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. ### Technology Stack - 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 ### What We Offer - 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. ## Apply [Apply at Intetics](https://apply.workable.com/intetics-2/j/B032ED8D3E/apply) --- Powered by [Workable](https://www.workable.com)