Senior Google Cloud – GCP – Architect

Job Title: Senior Google Cloud – GCP Architect (German-Speaking) – Zurich
Location: Zurich
Job Type: Permanent
Remote or Hybrid: Hybrid (WFH days and office-based work)

About the Company

This globally renowned Google Cloud Consultancy is one of the leading GCP specialists in the world, known for its innovative work in the cloud, machine learning, and data analytics space. The company is a data-led consultancy with a strong focus on Google Cloud, working across a range of industries including gaming, retail, and food delivery. With successful projects such as Vertex AI MLOps initiatives and data orchestration strategies, this consultancy is pioneering AI workflows, machine learning solutions, and cutting-edge Google Cloud technologies.

About the Senior Google Cloud – GCP Architect Vacancy

As a Senior Google Cloud Architect, you will be responsible for shaping the architecture for critical projects and advising clients on the best cloud and machine learning solutions. You will be leading pre-sales and post-sales architecture discussions and collaborating with both business and technical leaders to define complex solutions. The role offers the opportunity to work alongside experts and enthusiasts in the AI and data fields, including engineers and data scientists, to build next-generation ML products and AI workflows.

You’ll be working in a customer-facing role, liaising directly with stakeholders to provide expert-level advice on data migration, analytics, and machine learning projects. You will also lead the design and implementation of enterprise-scale solutions.

Key Responsibilities

• Inspiring Technical Work: Utilize cutting-edge technologies to develop scalable solutions for clients.

• Project Leadership: Lead enterprise-scale data and AI projects from design through to implementation.

• Technical Thought Leadership: Introduce innovative solutions and technical approaches to enhance project delivery.

• Team and Architecture Development: Mentor team members and promote technical excellence within the architecture team.

• Sales Support: Provide technical expertise to sales teams during client engagements.

• Solution Development: Collaborate with sales teams to create market-ready solutions with a focus on governance and technical leadership.

• Customer Engagement: Conduct architecture reviews, providing actionable recommendations to senior stakeholders.

• Best Practices: Define and implement best practices for project delivery to ensure quality and consistency.

• Agile Collaboration: Work alongside data scientists, engineers, and analysts in an agile environment.

• Tech Partner Collaboration: Work closely with partners like Google Cloud, Tableau, and Looker.

• Mentorship: Guide team members while fostering a culture of growth and innovation.

Ideal Candidate Requirements

• Educational Background: Bachelor’s or Master’s degree in Computer Science or a related field.

• Proven Expertise: Hands-on experience in designing and implementing large-scale cloud architectures.

• End-to-End Ownership: Ability to manage complex projects from inception to completion.

• Technical Excellence: Strong analytical skills, focused on innovation and technical problem-solving.

• Communication Skills: Exceptional verbal and written communication skills, with a strong ability to deliver presentations and proposals.

• Stakeholder Management: Ability to build and maintain relationships with key stakeholders.

• Pre-Sales Experience: Proven track record in technical pre-sales and proposing innovative solutions.

• Holistic Cloud Expertise: Comprehensive knowledge of cloud technologies across data, security, and networking.

• Container Technologies: Experience working with containers in cloud-based projects.

• Programming Skills: Expertise in programming languages such as Python, Java, and SQL.

Bonus Points

• Certifications: Google Cloud or AWS Certified Solutions Architect.

• ETL & Data Pipeline Expertise: Experience with tools like Spark, Beam, Flink, etc.

• Data Architecture: Experience designing data lakes and data warehouses (e.g., BigQuery, Redshift).

• Analytics Tools: Familiarity with tools like Looker, Tableau, PowerBI, etc.

• Agile Methodologies: Familiarity with Scrum and Agile frameworks.

• Data Science: Basic knowledge of machine learning, data mining, and data visualisation.

• Open-Source Contributions: Contributions to open-source projects.

Why You Should Apply

This is a fantastic opportunity to work with a leading Google Cloud GCP Consultancy that is shaping the future of machine learning and data analytics. If you’re passionate about cloud architecture, AI workflows, and scalable data solutions, apply now before the opportunity is gone!

Note: This role is highly competitive, so if you’re interested, act quickly!