Microsoft Azure Data Architect

Lumiere Systems • Malvern, PA

1d

About The Position

We are seeking a skilled Microsoft Azure Data Architect to design and build robust data solutions on the Azure platform. This role involves architecting modern data platforms, developing data pipelines, and creating data models to support business intelligence and advanced analytics. You will also be responsible for implementing data governance, security, and compliance measures. Collaboration with stakeholders, data scientists, and engineering teams is crucial, as is providing technical leadership and mentoring. Performance monitoring, optimization for cost and scalability, and staying abreast of emerging Azure technologies are key aspects of this position. Additionally, you will conduct workshops to drive the adoption of Azure data solutions.

Requirements

• Strong proficiency in Azure services: Data Factory, Synapse, Databricks, Data Lake, Power BI.
• Experience with data modeling, ETL design, and data warehousing.
• Knowledge of SQL, NoSQL, PySpark, and BI tools.
• 7+ years in data architecture roles; 3+ years with Azure data solutions.
• Familiarity with Lakehouse architecture, Delta/Parquet formats, and data governance tools.
• Excellent communication and stakeholder management.
• Ability to lead cross-functional teams and influence technical decisions.

Nice To Haves

• Experience in regulated industries (e.g., Financial Services).
• Knowledge of Microsoft Fabric, Generative AI, and RAG-based architectures.
• Certifications like Microsoft Certified: Azure Solutions Architect Expert or Azure Data Engineer Associate are highly desirable.

Responsibilities

• Design and Build Data Solutions
• Architect modern data platforms using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Data Lake Storage, and Cosmos DB.
• Develop and maintain data pipelines for ingestion, transformation, and storage.
• Create data models and schemas to support business intelligence and advanced analytics.
• Implement data security, privacy, and compliance measures.
• Establish governance frameworks for data quality and lifecycle management.
• Work closely with business stakeholders, data scientists, and engineering teams to align architecture with business goals.
• Provide technical leadership, mentoring, and best practices for data engineering teams.
• Monitor system performance and troubleshoot issues.
• Optimize architecture for cost efficiency, scalability, and high availability.
• Stay updated on emerging Azure technologies and trends.
• Conduct workshops and enablement sessions to drive adoption of Azure data solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior