Data Architect

Key Responsibilities :

- Design and implement scalable, high-availability database architectures across diverse platforms.

- Architect, manage, and optimize relational (PostgreSQL) and non-relational (MongoDB, Elasticsearch, Graph DB) data systems.

- Lead initiatives to scale and tune databases for large-scale enterprise applications.

- Ensure data integrity, security, and performance across production and staging environments.

- Collaborate with cross-functional engineering and DevOps teams to support development, deployment, and real-time analytics needs.

- Define and implement data modelling standards and best practices for structured and unstructured data.

- Drive innovation in data architecture for multi-location, multi-tenant environments.

- Support disaster recovery, backup, and failover strategies for mission-critical, always-on systems.

Qualifications & Requirements :

- 10+ years of experience in data architecture, database engineering, or a related role, Minimum 5 years as an architect. (Must Have)

- Experience with Snowflake, Databricks, or relevant open-source data platforms. (Must Have)

- Deep expertise in MongoDB, PostgreSQL, Elasticsearch, and Graph DB. (Must Have)

- Proven experience in building, scaling, and performance-tuning large-scale, distributed databases.

- Prior experience working with large enterprise environments and complex infrastructure setups

- Strong understanding of data governance, security, and compliance best practices.

- Experience supporting 24x7 mission-critical applications.

- Hands-on experience with cloud-native databases and data services (AWS is a must have).

- Strong communication skills and ability to collaborate with stakeholders across functions.

- Certification in MongoDB, PostgreSQL, or Cloud Database Architecture is a plus.