Data Architect

Intel•Aloha, OR

1d•Hybrid

About The Position

Intel is seeking a Data Architect to join its Corporate Planning Group Data and Analytics team. This role will drive insights and analytics for the organization, focusing on understanding data origins, flows, and meaning to identify gaps and propose solutions. The architect will prototype data solutions, document requirements for IT, design analytical reporting, partner on data quality and governance, lead or support User Acceptance Testing (UAT), establish production support SLAs, and drive data integration and BI/reporting capabilities. The role also involves contributing to the team's data architecture strategy, aligning with business priorities and IT guidelines. The ideal candidate will be adept at investigating data, leading discussions on data needs, communicating with technical and business stakeholders, transforming information into action, and tolerating ambiguity in large transformation programs. Skills in analyzing data requirements, designing database solutions, data warehousing modeling, and data integration design are essential.

Requirements

Bachelor's degree in Business Analytics, Information Systems, Supply Chain Management, or related field of study with 5+ years of relevant work experience. OR a Master's degree in the above fields with 3+ years of relevant work experience.
Data visualization (Power BI)
Query languages (e.g., SQL)
Experience in Python, Advanced SQL, Azure, Snowflake, and/or Microsoft Fabric
Working with data used for demand planning, supply planning, procurement, sales and marketing, manufacturing, finance and/or product master data.
A drive to investigate data through both people and systems/queries to achieve a comprehensive understanding.
An affinity for leading in-depth conversations about data needs and usage and supporting this with active data analysis/experimentation to help teams formulate their data requirements as Intel transitions to Blue Yonder and SAP/S4 over the next several years.
The willingness to effectively communicate with both technically minded IT engineers and business-focused subject matter experts.
Willingness to proactively transform information into action.
A tolerance for the ambiguity that comes with supporting large business and system transformation programs.
Skills to analyze data requirements, and design effective database solutions and models, to store and retrieve company data.
Data warehousing modelling and data integration design.

Nice To Haves

Experience with data modeling.
Driving change through data and data solutions.
Working experience in supply chain management
Track record of designing, implementing, and supporting large scale data and analytics solutions.
Experience with AI coding assistants such as Claude, ChatGPT, or Codex in Visual Studio Code or similar IDEs, with the ability to use them to improve development speed, code quality, and engineering efficiency.

Responsibilities

Driving in-depth business data analysis to understand the origin, flow, level of detail, and meaning of data used to make decisions, as well as to identify both process-driven and system-driven data gaps or obstacles, along with recommended solutions.
Prototyping data/reporting solutions to drive a meeting of minds across multiple stakeholder groups so we can document and hand off fully vetted, implementable data requirements to IT development teams.
Designing, documenting, and delivering innovative, configurable, highly supportable analytical reporting solutions based on standardized data definitions/practices and certified data sources established by IT.
Partnering with IT, Data Governance, and subject matter experts to create and deploy effective data quality monitors and to advocate for strong data governance.
Fully leading or supporting Test Lead in UAT Execution for newly developed or enhanced data integration and reporting solutions through orchestration with IT and subject matter experts.
Establishing and following stabilization/production support SLAs for our team (reporting artifacts) and with IT for the underlying data infrastructure.
Driving Data Integration and BI/reporting capabilities directly supporting program requirements.
Providing inputs to evolve team's data architecture and strategy aligned with business priorities and IT guardrails.