Senior Data Architect – Azure, Databricks, Cosmos DB

🔥 0 minutes ago

🌐 Serbia, Albania, +4 more countries – Remote

🇷🇸 Serbia – Remote 🇦🇱 Albania – Remote 🇧🇦 Bosnia and Herzegovina – Remote 🇽🇰 Kosovo – Remote 🇲🇪 Montenegro – Remote 🇲🇰 North Macedonia – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Intetics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more.

📋 Description

• 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 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

🎯 Requirements

• 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, and Databricks • Strong experience with Data Engineering, Data Warehousing, ETL/ELT architectures, Data Modeling, Incremental Processing, and 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 • Deep knowledge of Synapse Pipelines, Spark Pools, Serverless SQL, Dedicated SQL Pools, workload optimization and architecture design, data lake integration patterns, and large-scale analytical platforms • Hands-on Azure Cosmos DB experience with data modeling, partition key strategy, indexing, scalability design, throughput and RU optimization, cost optimization, consistency models, Change Feed, and distributed database architectures • 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 • Nice to have: Experience with AI-driven analytics solutions • Nice to have: Data governance and compliance experience • Nice to have: Experience supporting enterprise reporting and analytics environments • Nice to have: Knowledge of modern cloud-native architecture patterns

🏖️ Benefits

• 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