
Leading Database Architect
2 days ago
This is a key role within our organization that involves designing, implementing, and maintaining scalable database solutions using various technologies such as SQL, MongoDB, Vector Databases, and Graph Databases.
- Develop and maintain data lake architectures to support analytics, AI/ML, and advanced reporting needs. Ensure that the solution provides high performance and scalability.
- Establish data models, schemas, indexing strategies, and partitioning for optimal performance and scalability.
- Lead administration of MongoDB clusters, SQL databases, and cloud-native data services. Manage database provisioning, replication, sharding, backup/restore, monitoring, and upgrades.
- Ensure data security, compliance, and governance in multi-environment setups.
Required Skills and Qualifications
- 12–15 years of proven experience as a Database Administrator and Architect in large-scale environments.
- Strong expertise in MongoDB architecture & administration (replication, sharding, Atlas).
- Deep experience with SQL databases (Oracle, MS SQL Server, PostgreSQL, MySQL).
- Strong knowledge of data lake and lakehouse architectures (Delta Lake, Snowflake, or BigQuery).
- Hands-on experience with Vector Databases (Pinecone, Weaviate, Milvus, FAISS, or equivalent).
- Experience with Graph Databases (Neo4j, TigerGraph, Amazon Neptune, or equivalent).
Preferred Qualifications
- Experience supporting AI/ML pipelines and real-time analytics.
- Exposure to multi-cloud and hybrid data deployments.
- Certifications in MongoDB DBA/Architect, Oracle DBA, Azure/GCP/AWS Data Engineer.
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