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Tier-1 brand, metro hybrid role, and broad data/AI skillset increase competitive applicant density.
Data engineering and AI-platform skills are highly transferable across industries.
Explicit 8+ years, staff-level leadership and specific data/AI competencies make filters stringent.
Lead end-to-end design and delivery of scalable, secure data and AI solutions across multiple delivery workstreams.
Set and enforce engineering standards for software design, testing, CI/CD, and observability in data-intensive projects.
Provide technical leadership and mentorship to internal and partner engineering teams ensuring architectural alignment and sustainable solution ownership.
Bachelor’s degree in Computer Science or related field.
8+ years of hands-on experience building and maintaining scalable data infrastructure and products.
Proven ability to produce detailed high-level and low-level design artefacts for data or technology solutions.
Development experience in object-oriented languages (Python preferred), expert SQL skills, and experience integrating AI/ML capabilities into production systems.
Experienced technical leader with strong command of modern software engineering best practices and design patterns relevant to data and AI solutions.
Skilled at translating architectural directions into actionable engineering specifications for delivery teams.
Able to influence and collaborate across internal engineering, architecture, cyber, and third-party teams to deliver maintainable, enterprise-grade solutions.