Senior Data Architect - Lakehouse & Analytics Strategy

Baldwin; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

MSI is seeking a seasoned Data Architect to design enterprise data architectures, lakehouses and data warehouses, partnering with Solution Architects, DBAs, BI teams and product leaders to support the continued expansion of our analytics capabilities.

You will own data migration and integration, define data security and backup processes, and optimize data platforms across Azure SQL, Spark/Hadoop, and cloud ecosystems while mentoring teams and upholding MSI values.

Qualifications

• Ten or more years in data architecture and systems engineering, including senior ownership of data security protocols.
• Deep technical expertise in database/dataset management and data integrations across multiple platforms.
• Experience with cloud-based data architecture, databases, and orchestration tools.
• Knowledge of Big Data technologies such as Spark/Hadoop and PySpark.

Responsibilities

• Continuously evaluate data architecture to meet evolving requirements.
• Collaborate with BI, DBA, Solution Architect, Product, and Operations to design modern data architectures.
• Own data migration and integration initiatives between business systems.
• Develop data security and backup processes and protocols.
• Optimize data lake, data warehouse, and orchestration practices.
• Document conceptual and logical data models and support unstructured data designs.

Skills

Data architecture

Cloud data platforms

Spark/Hadoop

PySpark

Education

Bachelor’s degree in a technology related field

Master’s degree preferred

Tools

Azure SQL databases

Microsoft Fabric

Azure environment

Job description

MSI is seeking a seasoned Data Architect to design enterprise data architectures, lakehouses and data warehouses, partnering with Solution Architects, DBAs, BI teams and product leaders to support the continued expansion of our analytics capabilities.

You will own data migration and integration, define data security and backup processes, and optimize data platforms across Azure SQL, Spark/Hadoop, and cloud ecosystems while mentoring teams and upholding MSI values.