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Senior-level role with domain focus and fewer mid-level applicant amplifiers.
Big-data engineering skills transfer across industries, though leadership expectations add some sensitivity.
No explicit years or mandatory certifications but leadership and big-data expertise expected.
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Lead the design and architecture of big data solutions and oversee data pipeline development.
Provide technical guidance and mentoring to team members.
Collaborate with stakeholders to meet business requirements while ensuring data security and regulatory compliance.
Bachelor's or Master's degree in Computer Engineering, Computer Science, Information Technology, or Software Engineering.
Must have expertise in big data solution design and data pipeline development.
Proficiency in Agile Methodology and client collaboration tools.
Language proficiency in English at C2 level.
Experienced in leading technical teams and mentoring software engineers in big data or AI contexts.
Skilled at balancing technical architecture responsibilities with stakeholder collaboration and compliance oversight.
Comfortable working in a hybrid environment focused on building AI-powered transformative solutions.