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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing Data and AI pipelines, with a strong focus on Google Cloud architectures and services, particularly Vertex AI. Capable of auditing existing practices to identify high-value use cases and managing scaling and cost challenges in Data/AI architectures.
Highest-signal resume keywords
Python ProficiencyGoogle Cloud ExpertiseData/AI Architecture DesignConsulting SkillsSoftware Engineering Background
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureAI Model SecurityData Pipeline ImplementationSoftware DevelopmentROI Assessment of AI
Soft Skills
Excellent Communication SkillsStrong Consulting Skills
Tools & Technologies
Google CloudVertex AIConfluentScrumKanban
Industry Keywords
Data/AI Use CasesArchitecture ModernizationProduct DevelopmentTransformation InitiativesTechnical Challenges
Tech Stack
Tools & technologiesCloudJavaPythonTypeScript
About the role
Key responsibilities & impact- Support clients with their day-to-day technical needs and transformation initiatives
- Audit existing practices to identify high-value Data/AI use cases
- Design and implement Data and agentic pipelines
- Secure the outputs of AI models
- Manage scaling and cost challenges in Data/AI architectures
- Work with Google Cloud architectures and services, particularly Vertex AI
- Support the development of client teams’ skills through training and coaching
- Champion Zenika’s vision and new Data/AI offering
- Address a wide range of technical challenges as a well-rounded consultant
- Contribute to architecture modernization projects, product development initiatives, and long-term engagements
- Work in blended client/Zenika teams using Scrum or Kanban
Requirements
What you’ll need- Significant experience in software development and complex Data architectures
- Proficiency in Python
- Proficiency in Google Cloud Data/AI tools and technologies
- Strong expertise in Google Cloud
- Solid software engineering background
- Understanding of the strengths and limitations of current AI models and architectures
- Ability to determine when to use RAG and how to secure an agent
- Ability to assess the measurable ROI of AI
- Knowledge of Confluent and Java is a plus
- Strong consulting skills
- Excellent communication skills
- Experience across multiple technical and business ecosystems
Benefits
Comp & perks- Flexible remote work
- Respect for personal time
- Transparent compensation
- Talks, training, and open-source projects
- Opportunities to progress into roles such as Lead Developer, Architect, Speaker, or Trainer
- Expert environment that fosters knowledge sharing
- Responsible business model focused on inclusion, workplace equality, and digital sustainability
- Environment founded on listening and fairness
- Recruitment and onboarding processes adaptable to individual needs