Back
High — strong employer brand, metro location, and a popular mid-level data lead role.
Medium — core data engineering skills transfer across industries, but big-data platform experience adds domain bias.
Medium — no explicit years or mandatory certifications, but leadership and big-data expertise required.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and architecture of big data solutions and oversee development and implementation of data pipelines.
Provide technical guidance and mentoring to team members and collaborate with stakeholders to align on business requirements.
Ensure data security, compliance with regulatory standards, and optimize data processing and storage systems.
Bachelor’s degree in Computer Engineering, Computer Science, Information Technology, or Master’s in Software Engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Proficiency in English at C2 level.
Experience or knowledge in Agile methodology, risk management, and people leadership is mandatory.
Experienced in leading big data solution design and implementation in hybrid work environments.
Strong collaborator comfortable working with multiple stakeholders and mentoring technical teams.
Up-to-date on emerging technologies and best practices in big data analytics and data security compliance.