Job Description

About VWO

VWO is a leading Digital Experience Optimization platform trusted by over 3,000 businesses in 100+ countries, including global brands like Samsung, Vodafone, Toyota, HBO, and Domino's. What began 15 years ago as one of the world’s first A/B testing tools has since evolved into a comprehensive, enterprise-grade platform used by product, marketing, and growth teams to experiment, personalize, analyze behavior, and build exceptional digital experiences.

Today, VWO offers a full-stack suite for A/B testing, multivariate testing, feature rollouts, heatmaps, session recordings, behavioural analytics, surveys, personalization, and more across web, mobile, and server-side applications — all in one unified platform. We enable teams to make confident, data-driven decisions that drive user engagement, retention, and conversion.

VWO is a profitable, founder-led business with $50M+ ARR, strong EBITDA margins, and a history of capital-efficient, sustainable growth. In January 2025, Everstone Capital acquired a majority stake in the company to help accelerate our global expansion — both organically and inorganically.

We are a fully remote team of 450+ people, with go-to-market teams across the Americas, Europe, and APAC, and product and engineering anchored in India. Our culture values deep thinking, fast execution, and strong ownership — with minimal bureaucracy and high autonomy. Despite our scale, we continue to operate with the agility and ambition of a startup.

We are seeking an Associate Director/Director of Engineering to lead our Data Platforms Team and drive innovation in data engineering, analytics, and governance.

Role Overview:

As a Principal Data Architect, you will be responsible for leading the design, development, and scaling of our data infrastructure. You will collaborate with product managers, data scientists, and engineers to ensure our data pipelines and architectures are robust, scalable, and aligned with business objectives. The role requires a strong background in backend development, data processing, and scalable architecture design.

Key Responsibilities:

● Lead and mentor a team of data engineers, ensuring high performance and career growth.

● Architect and optimize scalable data infrastructure, ensuring high availability and reliability.

● Drive the development and implementation of data governance frameworks and best practices.

● Work closely with cross-functional teams to define and execute a data roadmap.

● Optimize data processing workflows for performance and cost efficiency.

● Ensure data security, compliance, and quality across all data platforms.

● Foster a culture of innovation and technical excellence within the data team.

Required Skills & Experience:

● 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.

● Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.

● Proficiency in SQL, Python, and Scala for data processing and analytics.

● Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.

● Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice

● Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.

● Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery

● Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).

● Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.

● Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.

● Proven ability to drive technical strategy and align it with business objectives.

● Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications:

● Experience in machine learning infrastructure or MLOps is a plus.

● Exposure to real-time data processing and analytics.

● Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.

● Prior experience in a SaaS or high-growth tech company.