Data Architect

Job Details: Job Description: When you join Intel, you become part of a global organization with big ambitions. Our people have had a profound influence on the world by creating radical innovations that revolutionize the way we live. We are driven by our purpose: To create world-changing technology that improves the life of every person on the planet. We develop technologies that bring down barriers and enable tomorrow’s greatest scientific breakthroughs and cultural achievements. We are looking for a Data Architect to join our Corporate Planning Group Data and Analytics team, driving insights and analytics for the organization. The role’s responsibilities may include but are not limited to: Data Analysis: 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. Data Requirements: proto-typing 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. Report + Report Dataset Development: designing, documenting, delivering innovative, configurable, highly supportable analytical reporting solutions based on standardized data definitions/practices and certified data sources established by IT. Data Quality + Governance: Partnering with IT, Data Governance, and subject matter experts to create and deploy effective data quality monitors and to advocate for strong data governance. Data Validation: 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. Production Support: establish and follow stabilization/production support SLA’s for our team (reporting artifacts) and with IT for the underlying data infrastructure. Drive Data Integration and BI/reporting capabilities directly supporting program requirements. Data Architecture Strategy: Provide inputs to evolve team’s data architecture and strategy aligned with business priorities and IT guardrails. A successful candidate will demonstrate: 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. Qualifications: You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. This position is not eligible for Intel’s immigration sponsorship. Minimum qualifications: 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. Relevant work experience should include: 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. Preferred qualifications: 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. Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Arizona, Phoenix, US, California, Folsom Business group: The Corporate Planning Group (CPG) is the strategic heartbeat of Intel, acting as catalyst for innovation and transformation, guiding the company towards achieving its vision and maintaining a competitive edge in the marketplace. CPG exists to build a comprehensive operating plan that leverages internal and external manufacturing for Intel’s growth. We emphasize data-driven innovation and results, ensuring we meet customer demands and financial targets. Join CPG to be part of a forward-looking group that is not just planning for tomorrow, but redefining it. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $136,900.00-269,150.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change. #J-18808-Ljbffr