Senior Data Architect

Responsibilities

We are representing a confidential financial services consultancy seeking a Senior Data Architect to lead complex data architecture initiatives for their enterprise clients. In this senior consulting role, you will guide organizations through data transformation journeys—defining strategy, designing architecture, and building scalable, cloud-based platforms that enable advanced analytics and AI capabilities.

• Lead agile consulting engagements focused on modern data architecture, cloud transformation, and the design of scalable platforms that support analytics and AI workloads
• Define and implement enterprise data strategies across programs and business units, ensuring architectures are scalable, secure, governed, and ready to support emerging AI capabilities
• Design and deliver cloud-native data platforms using AWS, Azure, or GCP, leveraging modern automation and AI-assisted engineering tools to improve delivery quality and efficiency
• Drive the integration of data governance, metadata management, cataloging, privacy, and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles
• Act as a trusted advisor to clients, translating complex technical concepts into business outcomes while collaborating with multidisciplinary teams across architecture, engineering, analytics, and AI

What We're Looking For

• Proven experience in enterprise data architecture, cloud data engineering, and large-scale platform design within complex environments
• Deep knowledge of data modeling practices, including conceptual, logical, and physical modeling, with experience designing architectures that support analytics and AI use cases
• Hands-on experience with cloud ecosystems (AWS, Azure, or GCP), modern data platforms, and architectural best practices, alongside an openness to AI-enabled engineering approaches
• Strong understanding of cloud migration, enterprise data management, governance, security frameworks, and the architectural considerations required to support responsible AI adoption
• Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences and guide strategic architectural decisions

Bonus qualifications:

• Industry-recognized cloud or data architecture certifications such as AWS, Azure, GCP, or Databricks
• Experience designing data lakes, lakehouses, or large-scale cloud migration programs
• Familiarity with graph technologies, semantic data modeling, knowledge graphs, or architectures supporting AI and machine learning workloads
• Financial services experience, including working with senior stakeholders in complex regulatory environments
• Experience leading architecture teams, developing reusable architecture patterns, or contributing to data architecture thought leadership

How We Work with You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and confirm alignment with the role requirements. We then submit qualified candidates to our client for consideration. Please do not attempt to contact the client directly, as all communication is managed through our recruitment process to ensure a professional and organized experience for everyone involved.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and are committed to fostering an inclusive recruitment process.