[Hiring] Senior Data Architect @Intetics

Role Description

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.

Qualifications

• 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.

Requirements

• 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

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.