GCP Data Architect

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
 
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
 
From prototype to real-world impact - be part of a global shift by doing work that matters. At Endava, we help some of the world’s leading businesses leverage the power of cloud to innovate and scale. Working in close partnership with Google, our GCP team is rapidly growing and delivering high-impact digital transformation projects across industries. We are now looking for a GCP Data Architect to join our Google Cloud team and help shape our most strategic client engagements.

Job Description

As a GCP Data Architect, you will be a senior technical leader responsible for designing, implementing, and overseeing robust data architectures on Google Cloud Platform (GCP). You’ll guide customers through complex data and AI transformations, shape data strategy, and lead technical delivery for critical projects. Your work will span advisory, architecture, governance, and implementation, with a strong focus on data platform modernization, AI enablement, and operational excellence.

This role also includes mentoring engineers, working closely with Google teams, contributing to strategic pre-sales efforts, and helping clients realize business value through cloud-native data and AI solutions.

Key Responsibilities

• Lead the design and implementation of secure, scalable, and cost-effective data architectures on GCP.
• Collaborate with client stakeholders to define enterprise data strategies, roadmaps, and reference architectures.
• Architect and implement advanced data pipelines (ETL/ELT) and AI-ready data platforms (e.g., Data Lakes, Data Mesh).
• Guide modernization of legacy systems to cloud-native solutions using tools like BigQuery, Cloud SQL, and Dataproc.
• Enable AI/ML capabilities through robust MLOps platforms, model management pipelines, and data governance strategies.
• Drive adoption of best practices around CI/CD, DataOps, and MLOps on GCP.
• Participate in delivery oversight, ensuring technical excellence across engagements.
• Mentor junior engineers and lead knowledge-sharing initiatives across teams.
• Support proposal writing, solution demos, and technical workshops during pre-sales cycles.

Qualifications

Technical Expertise:

• 7+ years of experience in data engineering, architecture, or analytics roles.
• Strong expertise with Google Cloud services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI, Cloud Composer, etc.
• Deep knowledge of data modeling, data warehousing, distributed systems, and real-time/stream processing.
• Proficiency in SQL, Python, and data transformation tools.
• Experience implementing Data Lakes, Lakehouses, or Data Mesh architectures.
• Hands-on experience with orchestration frameworks (e.g., Airflow, Composer).
• Good understanding of ML lifecycle management and MLOps tools.
• Experience with Infrastructure as Code (Terraform, Deployment Manager) and CI/CD for data systems.

Strategic and Leadership Skills:

• Proven ability to shape data strategy and architectural direction at enterprise level.
• Strong stakeholder engagement and consulting experience.
• Ability to present technical concepts to both engineering teams and C-level stakeholders.
• Experience leading cross-functional teams in hybrid (onshore/offshore) environments.

Certifications (preferred)

• Professional Data Engineer or Professional Cloud Architect (Google Cloud).
• Relevant certifications in AI/ML or Kubernetes (e.g., TensorFlow Developer, CKAD).

Language knowledge:

• Fluency in English (C1+)

And the willingness to work in hybrid mode, two days a week from the Berlin office

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;   
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.