Cloud Engineer - GCP & Databricks

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.

We are proud of:

• The work we do and the innovation we drive

• Our values of share, care and dare

• A workplace culture that fosters creativity, diversity and autonomy

• Our borderless, global framework, which enables seamless collaboration

The role

As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact.

You will thrive in this role if you are:

• A curious problem solver who challenges the status quo

• A collaborator who values teamwork and knowledge-sharing

• Excited by the intersection of technology, creativity and data

• Experienced in Agile methodologies and consulting (a plus)

Role responsibilities

• Design GCP-native architectures using BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run

• Build and maintain batch and streaming data pipelines using medallion architecture (Bronze, Silver, Gold)

• Implement infrastructure as code using Terraform

• Manage deployments through CI/CD pipelines such as Cloud Build

• Define and enforce GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and organization policies

• Build end-to-end Databricks Lakehouse solutions on GCP

• Design Delta Lake tables with proper governance using Unity Catalog

• Develop and optimise PySpark and SQL workloads for large-scale transformations

• Configure Databricks clusters, job scheduling, autoscaling, and cost controls

• Implement Databricks Workflows and Asset Bundles for orchestration and CI/CD

• Advise clients on Databricks adoption and migrations from legacy or on-prem platforms

• Lead technical workshops and requirements-gathering sessions

• Create client-facing deliverables such as architecture diagrams, specifications, runbooks, and data dictionaries

• Present solution designs and progress updates to both technical and business stakeholders

• Manage technical risks, dependencies, and delivery issues

• Actively participate in Agile ceremonies and sprint delivery

• Implement data quality checks using tools such as Great Expectations, dbt tests, or Delta constraints

• Support metadata management and data catalogue initiatives using Dataplex or Unity Catalog

• Ensure GDPR and data residency requirements are embedded in solution design

• Support RFP and RFI responses with solution design and effort estimation

• Contribute to internal documentation, runbooks, and knowledge-sharing sessions

• Stay up to date with GCP and Databricks product developments and recommend new capabilities to clients

Must have qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience

• 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.

• BigQuery with advanced SQL, partitioning, clustering, and cost optimization

• Cloud Storage, Cloud Functions, Cloud Run

• Dataflow (Apache Beam) for batch and streaming pipelines

• Cloud Composer / Airflow for orchestration

• Pub/Sub for event-driven architectures

• Vertex AI exposure for model serving or pipelines

• IAM, VPC, organization policies, and security governance

• Terraform for infrastructure as code

• Cloud Build and Artifact Registry for CI/CD

• Looker or Looker Studio for analytics and reporting

• Strong PySpark skills using DataFrame APIs and performance optimisation techniques

• Delta Lake concepts including ACID transactions, time travel, and Z-ordering

• Unity Catalog for governance and access control

• Databricks Workflows and job orchestration

• Databricks on GCP cluster configuration and tuning

• MLflow for experiment tracking and model registry

• dbt on Databricks or BigQuery

• Databricks Asset Bundles and CI/CD integration

• Python for data engineering and automation

• Advanced SQL for analytics

• Git-based version control and pull request workflows

• Docker and basic containerisation concepts

• Unit testing and data pipeline testing strategies

• REST API integration experience

• Google Cloud Professional Data Engineer or Professional Cloud Architect certification

• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification

Nice to have qualifications

•
Experience with AWS or Azure in addition to GCP

•
Exposure to composable commerce or content platforms

•
Salesforce Marketing Cloud or CDP integrations

•
Knowledge of Generative AI and LLM integrations using Vertex AI or Gemini APIs

•
Databricks Agent Framework or LangChain experience

•
Kafka or Confluent Cloud

•
Experience in luxury, retail, or FMCG domains

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.

Commitment to reaching all kinds of people

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.

The benefits

This is a Full Time position based in Bengaluru

Beyond a competitive compensation package, we offer:

• Flexibility, with remote and hybrid work options (country-dependent)

• Career advancement, with international mobility and professional development programs

• Learning and development, with access to cutting-edge tools, training and industry experts

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.

Are you ready to create what’s next? Join us.