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

Location: Serbia; Albania; Bosnia and Herzegovina; Kosovo; Montenegro; North Macedonia 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.