Data & Analytics Domain Architect

Data & Analytics Domain Architect

Requirements

• 10+ years of Data Lake / Warehouse hands-on Data Engineering Delivery
• Bachelor’s Degree required; master’s degree preferred
• Consulting experience building data, analytics and AI strategies for clients strongly preferred
• Experience working in large, multinational, enterprises
• Experience in CPG industry preferred
• Experience driving technology evaluations across a wide range of vendors using a formal evaluation process.

Responsibilities

• Defines Data & Analytics north star architecture (Data & Analytics capabilities and how they relate) and tech strategy (leads tech evaluation and selection, including POCs) and secures alignment across the following stakeholders: Global Data Governance, Data Engineering, Data Platform, Enterprise Solutions, and Digital Products and Applications team.
• Continues to refine data architecture principles and design patterns
• Perform regular and thorough market research, both with our existing product vendors, 3rd party research agencies like Gartner, and prospective vendors to stay one step ahead of the latest trends in the Data space. Evolve technology strategy and north star architecture accordingly.
• Lead the Data Architecture Community of Practice, providing coaching and guidance to D&AI solution architects, Enterprise Architects, and program teams on the use of Data capabilities, principles, and patterns along with documenting and presenting data architecture exceptions.
• Govern D&AI products solution architectures to ensure alignment with Data architecture standards and minimize tech debt, maximize reuse and speed to market.

Preferred Qualifications

• Experience driving technology evaluations across a wide range of vendors using a formal evaluation process.
• Experience in CPG industry preferred.
• Familiarity with data science concepts and techniques is a plus.