1155 Senior Data Architect (Azure / Databricks / Cosmos DB)
About this job
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.