Position Summary:The Data Architect is responsible for the design of MSI enterprise data and data management within the MSI ecosystem. As a member of the Data Services team, you will partner with Solution Architects, DBA's, Business Intelligence teams and our product and business leaders to design Lakehouses and Data Warehouses that support the continued expansion of our analytics needs. You will contribute to the development of our data strategy and implement a maintenance program focused on ensuring the ongoing alignment of our operating environment with the needs of our business.
Principal Responsibilities:- Continuously evaluate the firm's data architecture to ensure structures continue to meet its evolving requirements.
- Evaluate data requirements and demands aligning those needs with new system and product designs.
- Partner with key stakeholders (e.g., Business Intelligence, DBA's, Solution Architect, Product, Operations) to design and implement contemporary data architectures to support data integration, advanced analytics, and data science capabilities.
- Optimize data lake, data warehouse, and data orchestration processes and practices.
- Develop enterprise data migration and integration philosophies and plans.
- Collaborate and aid in documenting conceptual and logical data models.
- Collaborate with the Business Intelligence on designs for semi-structured and unstructured data.
- Own and manage data migration/integration initiatives between business operational systems.
- Contribute to the design of data management processes and protocols.
- Assist with the definition of data security and backup processes and protocols.
- Optimize all data related functions.
Education, Experience, Skills and Abilities Requirements:- Ten or more years in the data architecture and systems engineering arenas including ten years in a senior position, responsible for owning the corporate data security protocols.
- Deep technical expertise in database/dataset management with at least ten years managing data integrations across multiple platforms.
- Experience with cloud-based data architecture, databases, and orchestration tools required.
- Knowledge of Big Data technologies such as Spark / Hadoop.
- Experience with languages: PySpark, 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 both performance as well as the 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, exuding behavior that is aligned with the corporate culture.
- Bachelor's degree in a technology related field required. Master's degree preferred.
- Demonstrates the organization's core values, exuding behavior that is aligned with the firm's culture.
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