We are seeking a highly skilled Sr. Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights.,

• Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements.
• Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives.
• Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement.
• Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills.
• Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value.
  
  A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications.
• Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions.
• Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices.
• Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives.
  
  Work alongside over 130,000 diverse and talented Associates, all guided by The Five Principles.
• Be part of a purpose-driven organization committed to building a sustainable future and making a positive impact on the world.
• Access to comprehensive learning and development resources from day one, including opportunities through our in-house Mars University.
• A competitive salary and benefits package, including performance-based bonuses and flexible work arrangements.