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Mars

Senior Data Architect - Gen AI Engineering

Reposted 17 Days Ago
Be an Early Applicant
In-Office or Remote
12 Locations
Senior level
In-Office or Remote
12 Locations
Senior level
Lead the design and implementation of data architectures for generative AI initiatives, collaborating with teams and establishing best practices.
The summary above was generated by AI

Job Description:

We are seeking a highly skilled 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.

This role is transformation-funded and therefore has an expected end date of 31st December 2026.

What are we looking for?

  • 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.

What will be your key responsibilities?

  • 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.

What can you expect from Mars?
  • Work with diverse and talented Associates, all guided by the Five Principles.

  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.

  • Best-in-class learning and development support from day one, including access to our in-house Mars University.

  • An industry competitive salary and benefits package, including company bonus.

#TBDDT

Top Skills

AWS
Azure
GCP

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