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Intetics

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

LocationNorth Macedonia
Typefull-time
Company size1,001–5,000 people
First seen1w ago
Last seen2d ago
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
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Design and own enterprise-scale data platform architectures on Azure.
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Assess existing data environments and identify opportunities to improve scalability, performance, maintainability, and data quality.
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Define and implement modern data platform architectures using Azure services and Databricks.
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Design reusable and metadata-driven data ingestion frameworks.
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Architect and optimize structured and unstructured data processing solutions.
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Design and maintain scalable data models and analytical platforms.
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Define both tactical improvements and long-term target-state architectures.
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Create architecture documentation, technical specifications, and implementation guidelines.
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Collaborate with engineering teams, stakeholders, and business users to translate requirements into scalable solutions.
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Establish best practices for data governance, architecture standards, data quality, and platform reliability.
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Support engineering teams during implementation and architecture adoption.
Must Have
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Proven experience as a Data Architect with end-to-end architecture ownership.
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Strong hands-on experience with the Azure Data Platform.
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Minimum 4 years of recent Azure experience.
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Strong expertise with: Azure Synapse Analytics, Azure Data Factory (ADF),Azure Data Lake Storage (ADLS),Azure SQL / SQL Server, Azure Cosmos DB, Databricks
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Strong experience with: Data Engineering, Data Warehousing, ETL/ELT architectures, Data Modeling, Incremental Processing, Cloud Data Platforms
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Advanced SQL and Python skills.
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Experience designing and implementing large-scale cloud data solutions.
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Strong experience working with both structured and unstructured data.
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Excellent communication and stakeholder management skills.
Azure Synapse Expertise
The successful candidate should demonstrate deep knowledge of:
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Synapse Pipelines
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Spark Pools
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Serverless SQL
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Dedicated SQL Pools
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Workload optimization and architecture design
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Data lake integration patterns
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Large-scale analytical platforms
Azure Cosmos DB Expertise
Hands-on experience with:
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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
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Strong architecture ownership and decision-making experience.
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Experience modernizing and improving existing data platforms.
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Ability to quickly assess complex environments and provide actionable recommendations.
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Experience designing reusable and scalable ingestion frameworks.
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Deep understanding of structured and unstructured data processing.
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Strong data modeling experience for enterprise analytics platforms.
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Ability to balance short-term business needs with long-term architectural vision.
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Technology-neutral mindset when selecting tools and services based on requirements, scalability, performance, and cost.
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Experience producing implementation-ready architecture deliverables.
Nice to Have
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Lakehouse architecture experience.
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Experience with AI-driven analytics solutions.
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Data governance and compliance experience.
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Experience supporting enterprise reporting and analytics environments.
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Knowledge of modern cloud-native architecture patterns.
Technology Stack
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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
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Challenging enterprise-scale projects.
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Opportunity to drive architecture decisions and platform modernization initiatives.
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Collaboration with international teams.
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Long-term cooperation and professional growth opportunities.
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Innovative and supportive work environment.
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