Senior Data Architect, Azure

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🔥 0 minutes ago

🌐 North Macedonia, Albania, +1 more countries – Remote

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⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 10%

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Logo of Symphony Solutions

Symphony Solutions

501 - 1000 employees

Founded 2008

🤖 Artificial Intelligence

🎮 Gaming

☁️ SaaS

Artificial Intelligence • Gaming • SaaS

Symphony Solutions is a software company that builds AI-powered platforms and services focused on iGaming and enterprise software. Their public site highlights products such as BetSymphony (a turnkey iGaming / sportsbook and online casino platform), BetHarmony (an AI-powered conversational agent and bet recommendation system), Harmony (an AI assistant for customer service), and Symphony Cloud (a cloud development environment and DevOps tooling). They market AI-driven business transformation services and platform solutions for operators and enterprises, and also reference a corporate charity initiative.

📋 Description

• Architect and implement robust data platforms and solutions leveraging Databricks and Azure • Design, build, and optimize scalable data architectures on Azure • Develop and maintain data pipelines, models, and warehousing structures using industry best practices • Collaborate with engineering, analytics, and business stakeholders to translate requirements into technical designs • Lead ETL/ELT framework implementation, ensuring data quality, security, and compliance • Guide integration of new data sources and deployment of new capabilities • Define and enforce data governance, data modeling, and management standards • Troubleshoot data and platform issues to ensure reliable, high-performing solutions • Provide technical mentorship to junior team members on best practices and emerging tools

🎯 Requirements

• Proven experience as a Data Architect • Extensive hands-on experience with Databricks and Azure data services (e.g., Azure SQL/SQL Server, Azure Synapse, Azure Data Lake, Azure Data Factory) • Expertise designing and implementing data pipelines, data models, and analytics architectures in cloud environments • Strong proficiency in SQL, ETL/ELT processes, Python, and/or Scala for data engineering • Familiarity with data governance, security, access control, and compliance in Azure • Solid understanding of data warehouse concepts, dimensional modeling, and distributed systems • Experience collaborating with cross-functional and non-technical teams • Excellent problem-solving, communication, and documentation skills • Fluent English (ideally C1) • Future-oriented architecture thinking around AI and natural-language querying of enterprise data

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