Lead Data Architect

Crossing Hurdles; India; On-site; INR 10,507,880 - 15,761,820; Full time

Job summary

An innovative firm is on the lookout for a Principal Data Architect to spearhead their Data Platforms Team. This pivotal role involves designing and scaling data infrastructure, collaborating with cross-functional teams to drive innovation in data engineering and analytics. The ideal candidate will possess extensive experience in software and data engineering, with a strong command of SQL, Python, and cloud platforms. Join a forward-thinking organization that values technical excellence and fosters a culture of innovation, where your contributions will shape the future of data-driven decision-making.

Qualifications

• 10+ years in software/data engineering with leadership experience.
• Strong understanding of cloud platforms and data governance.

Responsibilities

• Lead and mentor a team of data engineers for high performance.
• Architect scalable data infrastructure for reliability and availability.

Skills

SQL

Python

Scala

AWS

GCP

Azure

Spark

Hadoop

Kafka

NoSQL Databases

Tools

Spring Boot

Google Guice

Snowflake

Redshift

BigQuery

Jenkins

Ansible

Docker

Kubernetes

Grafana

Job description

We are hiring for our client, a leading Digital Experience Optimization platform trusted by over 3,000 businesses across 100+ countries, including Samsung, Vodafone, Toyota, HBO, and Domino's. Established 15 years ago, the platform has evolved from one of the first A/B testing tools into a comprehensive enterprise-grade solution for product, marketing, and growth teams to experiment, personalize, analyze behavior, and create exceptional digital experiences.

Our client seeks a Principal Data Architect to lead their Data Platforms Team, driving innovation in data engineering, analytics, and governance.

Role Overview:

The Principal Data Architect will lead the design, development, and scaling of data infrastructure, collaborating with product managers, data scientists, and engineers to ensure robust, scalable data pipelines aligned with business goals. A strong background in backend development, data processing, and scalable architecture design is essential.

Key Responsibilities:

1. Lead and mentor a team of data engineers, fostering high performance and career growth.
2. Architect and optimize scalable data infrastructure for high availability and reliability.
3. Develop and implement data governance frameworks and best practices.
4. Collaborate with cross-functional teams to define and execute a data roadmap.
5. Optimize data workflows for performance and cost efficiency.
6. Ensure data security, compliance, and quality across platforms.
7. Promote a culture of innovation and technical excellence within the team.

Required Skills & Experience:

• 10+ years in software/data engineering, with 3+ years in leadership roles.
• Proficiency in SQL, Python, and Scala for data processing and analytics.
• Strong understanding of cloud platforms (AWS, GCP, Azure) and their data services.
• Experience with HLD, LLD, design patterns, preferably using Spring Boot or Google Guice.
• Experience with big data technologies such as Spark, Hadoop, Kafka, and distributed frameworks.
• Hands-on experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.
• Deep knowledge of data governance, security, and compliance (GDPR, SOC2).
• Experience with NoSQL databases such as Redis, Cassandra, MongoDB, TiDB.
• Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, ELK.
• Ability to drive technical strategy aligned with business goals.
• Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications:

• Experience in machine learning infrastructure or MLOps.
• Exposure to real-time data processing and analytics.
• Interest in data structures, algorithms, multicore programming, and scalable architecture.
• Prior experience in SaaS or high-growth tech environments.