OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.
Senior Principal Software Engineer
As Senior Principal Software Engineer develop strategic methods and principles to improve the technical stability and efficiency of the company's products/services.
You lead and influence several teams and initiatives.
Your Mission
Has deep knowledge of entire system and can jump into code in any component and fire fight and contribute.
Makes decisions on product direction and internals based on deep subject matter knowledge.
Sets product direction and has ownership over large components.
Thinks both strategically and tactically, keeping in mind both technical goals and company goals.
Given long term strategic goals, can lay out a path across many versions.
Provides technical leadership for projects including 3–4 individuals.
Mentor others with high-level technical guidance.
Designing, coding, and debugging software.
Improving the performance of existing software.
Recommending new technologies that can help increase productivity.
You Are
High technical and/or technological competence
Bachelor’s degree in Computer Science, Engineering, or related technical field
Minimum of 10+ years of hands-on experience with Java based development projects using RESTful APIs, SpringBoot, Micro services.
Proven experience building complex web systems.
Extra Awesome
Master's degree in Computer Science, Engineering, or related technical or business field
Expertise with running web services at scale.
Where we Work
We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.
Benefits
As an employee at OneTrust, you will be part of the OneTeam. That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.
Resources
Check out the following to learn more about OneTrust and its people:
You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form.
Recruitment fraud warning:OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to askrecruiting@onetrust.com.
Our Commitment to You
When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career.
OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
Why Valtech? We’retheexperience 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.
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 services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
Lead technical workshops and requirements-gathering sessions with client technical and business teams
Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
Ensure GDPR/data residency compliance is embedded into solution design from the outset
Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce 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.
Google Cloud Professional Data Engineer or Professional Cloud Architect certification
Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
Delta Lake — ACID transactions, time travel, Z-ordering
Unity Catalog — governance, lineage, access control
Databricks Workflows / Job orchestration
Databricks on GCP — cluster config, instance pools
MLflow — experiment tracking, model registry
dbt on Databricks or BigQuery
Databricks Asset Bundles / CI/CD integration
Python — data engineering and scripting proficiency
SQL — advanced analytical queries
Git / version control — branching, PR workflows
Docker — containerization basics
Unit testing and data pipeline testing practices
REST API integration patterns
Nice to have qualifications
Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
Familiarity with commercetools, Contentful, or other composable commerce/content platforms
Exposure to Salesforce Marketing Cloud data connectors or CDPs
Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
Experience with Databricks Agent Framework or LangChain for agentic AI workloads
Apache Kafka or Confluent Cloud for event streaming architectures
Google Cloud Professional Machine Learning Engineer
HashiCorp Terraform Associate.
Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems
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.
Why Valtech? We’retheexperience 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.
As a Data Architect, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 10+ 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
Define and document the end-to-end target-state data architecture for enterprise client programmes — covering ingestion, storage, transformation, serving, and consumption layers
Establish domain-driven data architecture boundaries aligned to business domains (e.g. Product, Customer, Order, Finance) using Domain-Driven Design (DDD) principles
Lead architecture design sessions with clients to align on technology choices, topology, and migration sequencing
Produce architecture artefacts to a consultancy standard: C4 diagrams, data flow diagrams, architecture decision records (ADRs), and technology selection rationale documents
Evaluate and recommend GCP-native vs. third-party component trade-offs — with clear cost, scalability, and maintainability justification
Define and enforce enterprise data modelling standards across the programme — covering 3NF (operational layer), dimensional modelling (Kimball star/snowflake for analytics), and Data Vault 2.0 (historized, auditable Lakehouse layers) as appropriate
Establish canonical data models for core business domains — ensuring consistency across squads and brands or business units
Design and govern the metadata framework: schema standards, naming conventions, entity definitions, data dictionaries, and lineage documentation
Oversee data contract design between producing and consuming domains — defining SLAs, schemas, versioning, and change management protocols
Ensure models are optimized for the target query engine — BigQuery partitioning/clustering strategies, Delta Lake Z-ordering, and Databricks Photon engine considerations
Design reusable, domain-oriented data product patterns — encapsulating ingestion, transformation, quality, and serving logic as deployable, versioned units
Define the data product interface contract: output ports (APIs, tables, streams), SLOs, ownership, and discoverability metadata in Unity Catalog or Dataplex
Establish a data product taxonomy aligned to business capability domains — enabling a self-serve data mesh posture for mature clients
Create accelerators and reference implementations that mid-level engineers can adopt — reducing bespoke build and enforcing consistency
Collaborate with Data Science and Analytics Engineering teams to ensure feature stores and ML feature pipelines are aligned to the broader data product architecture
Drive data governance strategy across the programme — defining policies for data classification, access control, retention, and quality thresholds
Design the governance operating model: data stewardship roles, data ownership accountability (domain owners vs. platform owners), and escalation paths
Define the data release sequencing strategy — prioritizing domains and data products based on business value, dependency mapping, and technical readiness
Establish lifecycle management policies for schema evolution, deprecation, and backward compatibility — enforced through Unity Catalog or equivalent cataloguing tooling
Implement or oversee data quality frameworks (Great Expectations, dbt tests, Databricks Delta constraints) aligned to governance thresholds
Provide hands-on architectural oversight during foundational delivery phases (Milestone 1 and equivalent programme gates) — ensuring the build conforms to the agreed architecture and standards
Conduct architecture reviews and code/design walkthroughs with engineering squads — identifying deviations, technical debt, and remediation paths
Chair Architecture Review Board (ARB) sessions with client technical leadership — presenting architecture decisions, trade-offs, and risk assessments
Define and track architecture fitness functions — measurable criteria that validate the architecture is being implemented correctly across squads
Serve as the escalation point for cross-squad architectural decisions, integration conflicts, and technology blockers
Lead client architecture workshops, data strategy sessions, and roadmap definition exercises at executive and technical levels
Produce and present strategic client-facing artefacts: Data Platform Vision documents, Architecture Blueprints, Governance Frameworks, and Capability Roadmaps
Contribute to pre-sales and bid activities — leading the data architecture strand of RFP/RFI responses, solution sizing, and pitch presentations
Represent Valtech's data architecture capability externally — through client advisory conversations, partner events, and thought leadership content.
Must have qualifications
To be considered for this role, you must meet the following essential qualifications:
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
Generative AI integration patterns — RAG pipelines, vector stores (AlloyDB, Vertex AI Vector Search), LLM-as-data-product
Exposure to composable commerce data models — product, pricing, inventory, order domains (commercetools, SFCC, SAP Commerce)
Experience in luxury, retail, or FMCG verticals — multi-brand data architectures, PIM/DAM integration patterns
OpenMetadata or Collibra — enterprise-grade data catalogue implementation
Familiarity with Salesforce Marketing Cloud data connectors or Customer Data Platforms (CDPs)
Google Cloud Professional Machine Learning Engineer
CDMP (Certified Data Management Professional) — DAMA certification
HashiCorp Terraform Associate
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 Fulltime 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.
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.
As a Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+ 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 and build data pipelines: Develop scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows for batch and streaming data processing.
Manage data infrastructure: Maintain and optimize data storage solutions, such as data lakes (Cloud Storage) and data warehouses (BigQuery), to ensure scalability, performance, and reliability.
Ensure data quality: Implement processes to guarantee the accuracy, integrity, and security of data throughout its lifecycle.
Collaborate with teams: Work closely with data scientists, analysts, and software engineers to understand their data needs and deliver robust data solutions.
Support machine learning: Operationalize machine learning models by building and maintaining the data pipelines that feed and integrate with Google's Vertex AI platform.
Automate processes: Implement automation for manual data tasks and workflows to improve efficiency.
Troubleshoot issues: Monitor and debug data systems and pipelines to ensure uninterrupted data delivery.
Must have
To be considered for this role, you must meet the following essential qualifications:
Education: A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field is typically required.
Minimum 3 + Years of experience as a Data Engineer.
Programming expertise: Proficiency in Python, SQL, and other languages like Java or Scala is common.
GCP technologies: Hands-on experience with core GCP services is essential. Key services include:
Data Processing: Dataflow, Dataproc, and Pub/Sub.
Storage and Warehousing: BigQuery, Cloud Storage, and Cloud SQL.
Orchestration: Cloud Composer (powered by Apache Airflow).
Data fundamentals: Deep understanding of data modeling, data warehousing, and distributed systems.
Big Data technologies: Experience with open-source tools like Apache Spark or Apache Beam.
Testing and DevOps: Familiarity with CI/CD pipelines (e.g., Cloud Build), Git, and automated testing.
Analytical skills: Strong problem-solving and analytical thinking abilities.
Communication: Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders.
Certification (preferred): A Google Cloud Professional Data Engineer certification can boost a candidate's profile
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, Gurugram, Ahmedabad and Pune.
Beyond a competitive compensation package, we offer:
Flexibility, with hybrid work options (country-dependent)
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. If your skills and experience align with the role, we’ll reach out for next steps.
⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com.
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.
The Digital Program Developer designs, builds, and configures digital care pathways using GetWell’s content management and workflow platforms (Contentful and Total.js). This role translates clinical requirements into patient-facing digital programs by configuring content delivery, conditional logic, alerts, and multi-step workflows. You are the hands-on builder who brings care pathways to life.
Key Responsibilities
Workflow Configuration & Development (≈70%)
Care Program Build & Configuration
Configure multi-step digital care programs in Total.js/Program Composer
Implement conditional logic, branching scenarios, and decision trees
Define temporal sequencing (e.g., pre- and post-procedure timelines)
Configure alerts, escalation triggers, and severity levels
Set up patient eligibility, enrollment, and progression logic
Integrate data feeds, reference dates, and enrollment criteria
Content Management (Contentful)
Build and structure patient-facing content including:
Educational modules and daily check-ins
Surveys, assessments, and PROMs
Automated messages with personalization variables
Model structured content and reusable components
Manage media assets (video, images, PDFs)
Support multi-language content (English, Spanish, others as needed)
Logic & Rules Configuration
Build scoring logic, formulas, and threshold-based alerts
Configure skip logic, validation rules, and required fields
Define completion criteria and program states
Map data capture requirements and field specifications
Testing & Quality Assurance (≈30%)
Testing
Create and execute end-to-end test plans
Validate all logic paths, alerts, and edge cases
Test delivery across channels and platforms
Verify data capture, storage, and reporting accuracy
Perform regression testing following updates or changes
Documentation
Maintain configuration and logic documentation
Create workflow diagrams and architecture maps
Document business rules and decision criteria
Support version control and change management
Build troubleshooting and support guides
Required Qualifications
Technical & Platform Experience
3–5 years experience configuring complex workflows or automation platforms (e.g., BPM tools, CRM workflows, marketing automation platforms)
Strong understanding of conditional logic, decision trees, and multi-step orchestration
2+ years experience with modern CMS platforms (Headless CMS preferred: Contentful, Sanity, Strapi)
Core Skills
Strong logical and analytical thinking
Methodical approach to testing and troubleshooting
Comfort working with structured data and field mappings
Ability to quickly learn new platforms and tools
Basic understanding of APIs and system integrations
Nice to Have
JSON/YAML configuration experience
SQL or basic scripting (JavaScript, Python)
Git/version control familiarity
Jira or similar project management tools
Communication & Collaboration
Translate clinical and business requirements into technical configurations
Clearly communicate logic, constraints, and tradeoffs
Document complex workflows for non-technical stakeholders
Collaborate with product, engineering, content, implementation, and QA teams
Present demos and walkthroughs of configured programs
Preferred Qualifications
Healthcare Experience (Helpful, Not Required)
Familiarity with patient journeys and healthcare workflows
Exposure to patient engagement platforms or digital health tools
Awareness of healthcare terminology and roles
Experience with EHR workflows (e.g., Epic, Cerner) is a plus
Advanced / Bonus Skills
Experience with Total.js, Node.js, or Contentful
GraphQL or HL7/FHIR exposure
Internationalization and multi-language configuration
Agile/Scrum team experience
QA, testing automation, or technical documentation background
About Get Well:
Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace.
We are a passionate group of people focused on making financial services accessible to every Indian through a multi-product platform. Each day, we help millions of customers take charge of their financial journey. Customer obsession is in our DNA. Every product, every design, every algorithm down to the tiniest detail is executed keeping the customers’ needs and convenience in mind. Our people are our greatest strength. Everyone at Groww is driven by ownership, customer-centricity, integrity and the passion to constantly challenge the status quo.
Are you as passionate about defying conventions and creating something extraordinary as we are? Let’s chat.
Our Vision
Every individual deserves the knowledge, tools, and confidence to make informed financial decisions. At Groww, we are making sure every Indian feels empowered to do so through a cutting-edge multi-product platform offering a variety of financial services. Our long-term vision is to become the trusted financial partner for millions of Indians.
Our Values
Our culture enables us to be what we are — India’s fastest-growing financial services company. It fosters an environment where collaboration, transparency, and open communication take center-stage and hierarchies fade away. There is space for every individual to be themselves and feel motivated to bring their best to the table, as well as craft a promising career for themselves.
The values that form our foundation are:
Radical customer centricity
Ownership-driven culture
Keeping everything simple
Long-term thinking
Complete transparency
Key Responsibilities:
Assist in video editing and post-production tasks (cuts, sequencing, subtitles, audio sync, basic motion graphics)
Resize and adapt video content for different platforms and formats
Support on-ground shoots and help with production coordination
Contribute creative ideas during pre production discussions and filming
Ensure timely delivery of high quality video assets
Required Skills:
Basic understanding of video editing tools (e.g., Premiere Pro, Final Cut Pro, After Effects, or similar)
Awareness of different video formats and platform requirements
Creative eye for visuals, storytelling, and detail
Willingness to learn, take feedback, and work in a fast-paced environment
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.
As an Architect, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 8+ 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:
Technical Pre-Sales & Thought Leadership (50%)
Lead AI-First Solutions Architecture: Design and present innovative solutions leveraging Gemini 2.5 (Flash & Pro), Google Agentspace, and Vertex AI to solve complex business challenges
Agentic AI Consulting: Architect multi-agent systems using Agent Development Kit (ADK), Agent Engine, and Agent2Agent (A2A) protocol for cross-platform agent collaboration
Enterprise AI Positioning: Evangelize Gemini Enterprise capabilities including agentic search, custom agent creation, and integration with enterprise collaboration tools
Technical Discovery & Scoping: Lead pre-sales discovery engagements, conducting workshops to identify AI and cloud modernization opportunities
Proposal Development: Develop comprehensive Statements of Work (SOWs), technical architectures, and cost models aligned with Google partner funding requirements (DAF/PSF)
Customer Presentations: Deliver compelling technical presentations and demos showcasing Google Cloud's latest innovations in AI, data, and infrastructure
Solution Consulting: Provide expert guidance on Google Cloud engineering practices, security best practices, and cloud-native architecture patterns
Advanced Solution Delivery (50%)
AI Platform Architecture: Design and implement production-grade AI solutions using:
Gemini Models: Deploy Gemini 2.5 Flash (low latency, cost-efficient) and Gemini 2.5 Pro (enhanced reasoning) for enterprise use cases
Vertex AI Platform: Build custom AI applications with model customization, tuning, RAG implementations, and multimodal capabilities
Google Agentspace: Architect enterprise knowledge management solutions with agentic intranet search, custom agent creation, and pre-built agents
Generative Media: Implement Imagen 4 (image generation), Veo 3 (video generation), and Lyria (text-to-music) for creative workflows
Modern Data Platform Leadership: Design scalable data architectures using:
BigQuery: Autonomous data-to-AI platform with Gemini-powered data agents for conversational analytics
AlloyDB: PostgreSQL-compatible database with AI-powered upgrades and Agentspace integration
Looker: Conversational BI platform with Gemini integration for LookML code generation and visualizations
Dataflow, Pub/Sub, Dataproc: Real-time and batch data processing pipelines
Enterprise Integration & Migration: Lead complex initiatives including:
Greenfield Google Cloud foundations and landing zone builds with AI-ready infrastructure
Workload migration from on-premise and multi-cloud environments
Legacy database modernization (SQL Server to PostgreSQL/AlloyDB) with Gemini-assisted query translation
Multi-cloud architectures with Cross-Cloud Interconnect (400G bandwidth)
Technical Leadership: Guide cloud engineering teams in implementing architectural patterns, ensuring code quality, security compliance, and operational excellence
Security & Compliance: Design solutions using Google Unified Security, security agents for alert triage and malware analysis, and Cloud Confidential Eligible (CCE) applications
Documentation Excellence: Produce comprehensive technical documentation, architecture diagrams, and runbooks
Must Have
To be considered for this role, you must meet the following essential qualifications:
Education: A Bachelor's or Master’s degree in computer science, Engineering, or a related technical field is typically required.
Experience & Seniority
Minimum 5+ years of hands-on experience architecting and implementing Google Cloud solutions in enterprise environments
3+ years in customer-facing technical roles (solutions architect, technical consultant, or similar)
Proven track record delivering complex cloud transformation and AI implementation projects
Core Google Cloud Expertise
Advanced Platform Knowledge: Deep expertise across Google Cloud's core services:
Data pipeline orchestration (Dataflow, Cloud Composer)
Real-time streaming with Pub/Sub
Looker dashboards and LookML (preferred)
Certifications (Nice to have)
Google Cloud Professional Cloud Architect (must obtain within first 6 months if not already held)
Additional Google Cloud certifications highly valued:
Professional Data Engineer
Professional Machine Learning Engineer
Professional Cloud Developer
Professional Cloud Security Engineer
Professional & Soft Skills
Exceptional Communication: Ability to translate complex technical concepts into business value for C-suite executives, product managers, and technical teams
Presentation Excellence: Confident delivering presentations and demos to large audiences and executive stakeholders
Consultative Approach: Trusted advisor mindset with ability to challenge assumptions and recommend best practices
Collaboration: Proven success working with distributed, cross-functional teams using Agile/Scrum methodologies
Customer Focus: Strong empathy for customer challenges with creative problem-solving abilities
Languages: Excellent spoken and written English (mandatory)
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 hybrid work options (country-dependent)
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. If your skills and experience align with the role, we’ll reach out for next steps.
⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com.
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.
