Senior Data Architect – Azure Lakehouse & Analytics

MSI; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

MSI is seeking a seasoned Data Architect to lead enterprise data design and management within the MSI ecosystem. You will partner with solution architects, DBAs, BI teams, and leaders to design lakehouses and data warehouses that scale our analytics capabilities.

You will contribute to our data strategy, implement maintenance programs, and ensure alignment with business needs, focusing on security and optimization across cloud-based environments.

Qualifications

• Ten or more years in data architecture and systems engineering, including a senior role.
• Deep technical expertise in database management with extensive data integrations.
• Experience with cloud-based data architecture, databases, and orchestration tools.
• Knowledge of Spark/Hadoop ecosystems and Big Data technologies.
• Proficiency with PySpark and SparkSQL.
• Understanding of semi-structured and unstructured data architectures.
• Experience with MS Azure SQL databases and Azure services.
• Experience with Azure Environment, Microsoft Fabric, and related services.

Responsibilities

• Continuously evaluate the firm’s data architecture to meet evolving requirements.
• Design data lake and data warehouse architectures to support analytics.
• Collaborate with BI, DBAs, solution architects to enable analytics and data science.
• Own data migrations and data integration initiatives across systems.
• Define data management processes and security protocols.
• Optimize data orchestration, performance and user experience.

Skills

Data architecture

Cloud data architecture

Big Data (Spark/Hadoop)

PySpark / SparkSQL

Data modeling

Education

Bachelor’s degree in a technology related field

Master’s degree preferred

Tools

MS Azure SQL databases

MS Azure Environment

Microsoft Fabric

Job description

MSI is seeking a seasoned Data Architect to lead enterprise data design and management within the MSI ecosystem. You will partner with solution architects, DBAs, BI teams, and leaders to design lakehouses and data warehouses that scale our analytics capabilities.

You will contribute to our data strategy, implement maintenance programs, and ensure alignment with business needs, focusing on security and optimization across cloud-based environments.