FP&A Systems Principal Professional / Data Solutions Architect
About The Position
The Enterprise Business Applications group is responsible for implementing and supporting various applications and tools to meet business requirements. This role will serve as the primary technical authority for data warehousing architecture, design, tuning, and continuous improvement. The position involves leading database solution design for strategic business analytics projects, defining structures and processes to make data accessible for current and future business needs. The individual will tune the analytics platform for high-performance response for thousands of daily system users, design and develop the company’s data quality solution for master data, and implement scalable, integrated security solutions for the analytics platform. Additionally, the role includes designing and developing data warehousing services (data quality, dictionary, cataloging, syndication, retention, migration, and service bus management), promoting data integration and alignment across the company’s application landscape, and providing technical leadership as an individual contributor through policy definition, quality control workflows, and change control standards. Collaboration with business system analysts, application developers, and junior staff is expected, as is staying current on industry trends, emerging technologies (including AI and GenAI opportunities), and identifying practical use cases to improve data quality, discovery, and decision-making. The role also involves partnering with data science and engineering teams to productionize AI-enabled solutions with strong governance, accuracy, and explainability, and creating/maintaining documentation for data structures, dictionaries, catalogs, and governance standards.
Requirements
- Bachelor’s degree in Information Systems, Computer Science, or related discipline
- 10+ years of experience developing data warehouse solutions for global enterprises
- Demonstrated work with multiple DBMS platforms and data processing technologies, including SQL Server, Oracle, Snowflake, and Databricks and related integration tools
- Experience integrating SaaS data and unstructured data sources into the data platform
- Excellent query performance tuning knowledge
- Knowledge of server administration, hosting alternatives, identity management, storage, indexing alternatives, security and how the unique workloads of analytic processing impact these areas
- Understanding of enterprise data architecture concepts and integrating data across the company’s application landscape
- Experience with data quality management and semantic knowledge solutions, including exception reporting, data dictionaries, and cataloging
- Ability to translate business requirements into scalable data structures and technical solutions
- Exposure to AI/ML or GenAI-enabled data and analytics transformation initiatives
Nice To Haves
- Semiconductor-specific industry experience highly preferred
Responsibilities
- Serve as the primary technical authority for data warehousing architecture, design, tuning, and continuous improvement
- Lead database solution design for strategic business analytics projects, defining structures and processes that make data accessible for current and future business needs
- Tune the analytics platform to deliver high-performance response for thousands of daily system users
- Design and develop the company’s data quality solution for master data
- Implement scalable, integrated security solutions for the analytics platform
- Design and develop data warehousing services, including data quality, dictionary, cataloging, syndication, retention, migration, and service bus management
- Promote data integration and alignment across the company’s application landscape
- Provide technical leadership for the extended team as an individual contributor through policy definition, quality control workflows, and change control standards
- Collaborate with business system analysts, application developers, and junior staff to design and deliver data solutions
- Maintain awareness of industry trends and apply new approaches to business problems as appropriate
- Stay current on emerging technologies, including AI and GenAI opportunities in data and analytics, and identify practical use cases to improve data quality, discovery, and decision-making
- Partner with data science and engineering teams to productionize AI-enabled solutions with strong governance, accuracy, and explainability
- Create and maintain documentation for data structures, dictionaries, catalogs, and governance standards
Benefits
- Employee stock purchase plan with a 2-year look back
- Family support programs
- Robust mental health resources
- Recognition and service awards
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What This Job Offers
Job Type
Full-time
Career Level
Principal
