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Intetics Linkedin · Posted 3d ago

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

North Macedonia

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Indexed 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
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