Data Architect

MSI

. Design MSI enterprise data and data management within the MSI ecosystem .

Posted 9/22/2026full-timeRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data architecture, data integration, and cloud-based solutions, with a strong focus on optimizing data management processes and ensuring data security. Proficient in designing and implementing data architectures that support advanced analytics and data science initiatives.

Highest-signal resume keywords

Data ArchitectureData Integration ManagementCloud-Based Data SolutionsMS Azure SQL DatabasesBig Data Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData IntegrationData MigrationData WarehousingData Lake DesignPySparkSparkSQLCloud-Based DatabasesData Security ProtocolsData Management Processes

Soft Skills

Detail-OrientedProactive Problem SolvingDecision-MakingCollaborationAlignment with Corporate Culture

Tools & Technologies

MS Azure EnvironmentMicrosoft FabricOrchestration ToolsBig Data TechnologiesData Orchestration Processes

Industry Keywords

Data StrategyAnalytics NeedsSemi-Structured DataUnstructured DataSchema-On-Read Techniques

Tech Stack

Tools & technologies

AzureCloudHadoopPySparkSparkSQL

About the role

Key responsibilities & impact

Design MSI enterprise data and data management within the MSI ecosystem
Partner with Solution Architects, DBAs, Business Intelligence teams, and product and business leaders
Design Lakehouses and Data Warehouses supporting expanding analytics needs
Contribute to the development of MSI’s data strategy
Implement a maintenance program aligning the operating environment with business needs
Continuously evaluate data architecture against evolving requirements
Align data requirements with new system and product designs
Design and implement data architectures supporting data integration, advanced analytics, and data science
Optimize data lake, data warehouse, and data orchestration processes and practices
Develop enterprise data migration and integration philosophies and plans
Document conceptual and logical data models
Collaborate with Business Intelligence on semi-structured and unstructured data designs
Own and manage data migration and integration initiatives between business operational systems
Contribute to data management processes and protocols
Assist with data security and backup processes and protocols
Optimize data-related functions

Requirements

What you’ll need

Ten or more years in data architecture and systems engineering, including ten years in a senior position responsible for owning corporate data security protocols
At least ten years managing data integrations across multiple platforms
Experience with cloud-based data architecture, databases, and orchestration tools
Knowledge of Big Data technologies such as Spark / Hadoop
Experience with PySpark and SparkSQL
Knowledge of semi-structured and unstructured data architectures and schema-on-read techniques
Deep experience with MS Azure SQL databases
Deep experience with MS Azure Environment, Microsoft Fabric, and services
Functional expertise with a major cloud-based database platform, including developing and maintaining code
Experience analyzing current environments and developing and implementing plans to optimize performance and user experience
Experience managing enterprise data in multiple unique and cloud-based environments
Detail-oriented and proactive in taking measures to avoid or mitigate issues
Basic understanding of project management philosophies
Ability to make decisions with the best interest of the firm and end-users in mind
Ability to demonstrate the firm’s core values and behavior aligned with the corporate culture
Bachelor’s degree in a technology-related field required
Master’s degree preferred

Benefits

Comp & perks

Remote work arrangement
Full-time employment