Experience : 8-15 years

Location : Remote

About the Company :

A leading Digital Experience Optimization platform used by over 3,000 businesses across 100+ countries. Originating as one of the first global A/B testing tools over 15 years ago, the platform has evolved into a comprehensive, enterprise-grade solution powering experimentation, personalization, behavioral analytics, feature rollouts, and more across web, mobile, and server-side applications.

With $50M+ ARR, strong profitability, and consistent capital-efficient growth, the organization recently received majority investment from a global equity firm to accelerate international expansion. The company operates fully remotely with 450+ team members worldwide and product & engineering hubs primarily in India. The culture emphasizes deep thinking, fast execution, strong ownership, high autonomy, and low bureaucracy.

Role Overview :

The Principal Data Architect will lead the Data Platform function, owning strategy and execution across data engineering, data infrastructure, and governance. This role partners cross-functionally with product, engineering, and data stakeholders to build scalable architectures, high-performance pipelines, and reliable data platforms.

Key Responsibilities :

- Lead, mentor, and coach a high-performing team of data engineers.

- Architect scalable, reliable, secure data platforms and pipelines.

- Build and enforce data governance standards, policies, and best practices.

- Partner with product, engineering, and data science to drive the data roadmap.

- Improve data processing workflows for performance, scale, and cost efficiency.

- Ensure enterprise-grade data security, privacy, compliance, and auditability.

- Establish a culture of technical excellence and innovation within the data org.

Required Skills & Experience :

- 8+ years in software/data engineering, including 2+ in leadership.

- Expertise in backend development (Java, Python, PHP, Node.js, Go, JavaScript, HTML, CSS).

- Strong command of SQL, Python, and Scala for data processing.

- Strong knowledge of cloud ecosystems (AWS / GCP / Azure).

- Deep experience in HLD & LLD, design patterns, preferably using Spring Boot or Google Guice.

- Hands-on experience with big data technologies (Spark, Hadoop, Kafka, distributed compute).

- Experience with cloud data warehouse systems (Snowflake / Redshift / BigQuery).

- Strong understanding of data governance, data security, GDPR, SOC2.

- Experience with NoSQL systems (Redis, MongoDB, Cassandra, TiDB).

- Familiarity with DevOps/automation tooling such as Jenkins, Docker, Kubernetes, Ansible, Chef, Grafana, ELK.

- Proven track record aligning technical strategy to business outcomes.

- Excellent leadership, communication, and stakeholder engagement abilities.

Preferred Qualifications :

- Experience in ML infrastructure / MLOps

- Background in real-time data streaming & analytics

- Strong interest in algorithms, systems design, multicore programming, scalability

- Experience in SaaS or high-growth tech environments

Why Join :

- Opportunity to architect large-scale distributed data systems

- Remote-first working model with flexibility

- Culture centered on innovation, ownership, and deep learning

- Competitive compensation and growth pathways