Azure Data Architect

Description

Azure Data Architect

Position Overview

We are seeking an experienced Azure Data Architect with deep hands-on expertise in cloud data migration, scalable architecture design, and modern data platforms. This role requires a technical leader who can architect and implement enterprise-scale data solutions while working directly with clients to translate business requirements into robust technical solutions.

Key Responsibilities

Architecture & Technical Leadership

• Design and implement scalable, high-performance data architectures on Azure Databricks and Microsoft Fabric
• Lead end-to-end cloud migration projects, moving on-premises data platforms to Azure-native solutions
• Build data lakehouse architectures leveraging Delta Lake, Unity Catalog, and Fabric OneLake
• Establish data governance frameworks, security protocols, and compliance standards across cloud environments
• Define technical standards, best practices, and reference architectures for data solutions

Hands-On Implementation

• Develop and optimize ETL/ELT pipelines using Azure Data Factory, Databricks workflows, and Fabric Data Pipelines
• Implement real-time streaming architectures using Event Hubs, Stream Analytics, and Databricks Structured Streaming
• Build performance-optimized data models and queries in SQL, PySpark, and Spark SQL
• Configure and optimize Azure resources including storage accounts, compute clusters, and networking
• Troubleshoot complex technical issues across the entire data stack

Client Engagement & Consulting

• Serve as a trusted technical advisor to clients, understanding their business challenges and data strategy goals
• Lead discovery workshops and architecture design sessions with stakeholders and technical teams
• Present technical recommendations and architecture proposals to executive leadership
• Provide hands-on mentorship and knowledge transfer to client teams
• Manage multiple client engagements simultaneously while maintaining high-quality delivery

Migration Expertise

• Assess legacy systems and develop comprehensive migration strategies and roadmaps
• Execute large-scale data migrations from on-premises databases, Hadoop clusters, and other cloud platforms to Azure
• Implement data replication, synchronization, and validation strategies during migration
• Minimize downtime and risk through phased migration approaches and rollback procedures

Required Qualifications

Technical Skills

• 5+ years of hands-on experience as a data architect or senior data engineer in Azure environments
• Deep expertise in Azure Databricks including Unity Catalog, Delta Lake, cluster optimization, and workspace administration
• Strong experience with Microsoft Fabric including Data Factory, Data Warehouse, OneLake, and Power BI integration
• Proven track record of leading and executing 3+ cloud migration projects involving large-scale data platforms
• Expert-level proficiency in PySpark, SQL, and Python for data processing and transformation
• Hands-on experience with Azure services: Data Lake Storage Gen2, Synapse Analytics, Data Factory, Event Hubs, Key Vault
• Strong understanding of data modeling (star schema, dimensional modeling, data vault) and database design principles
• Experience implementing CI/CD pipelines for data workloads using Azure DevOps or GitHub Actions

Consulting & Soft Skills

• 3+ years of client-facing consulting experience in a professional services or solution architect role
• Excellent communication skills with ability to explain complex technical concepts to non-technical audiences
• Demonstrated ability to gather requirements, manage stakeholder expectations, and drive consensus
• Strong presentation and workshop facilitation skills
• Experience managing competing priorities across multiple client engagements
• Self-motivated with ability to work independently and drive projects to completion

Preferred Qualifications

• Microsoft Azure certifications (DP-203, AZ-305, or equivalent)
• Databricks certification (Associate or Professional level)
• Experience with data governance tools (Purview, Unity Catalog)
• Knowledge of machine learning operations (MLOps) and ML platforms
• Experience with infrastructure-as-code (Terraform, Bicep)
• Background in specific industries such as financial services, healthcare, retail, or manufacturing

About Matrix:

Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13,000 employees worldwide. Since its foundation in 2001, Matrix has made numerous acquisitions and executed some of the largest, most significant projects. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and serves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Security, Matrix's customer base includes major organizations in Israel and a steadily growing client base worldwide. We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employees' contributions are integral to our company's future. Matrix's success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and growing together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization.

To Learn More, Visit: www.matrix-ifs.com

Equal Opportunity Employer:

Matrix is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.