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Senior Data Solutions Architect
2 weeks ago
We are looking for a highly skilled Database Architect with 12-15 years of experience in database architecture, administration, and performance optimization. The ideal candidate will have deep hands-on expertise in SQL and NoSQL databases (MongoDB), Data Lakes, and emerging technologies such as Vector Databases and Graph Databases.
Key Responsibilities- Architect, design, and implement scalable database solutions using SQL (RDBMS), MongoDB, Vector DBs, and Graph DBs.
- Develop and maintain data lake architectures to support analytics, AI/ML, and advanced reporting needs.
- Establish data models, schemas, indexing strategies, and partitioning for 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.
- Drive query tuning, indexing strategies, and workload balancing across heterogeneous databases.
- Implement high availability (HA) and disaster recovery (DR) strategies.
- Conduct capacity planning and forecasting for large-scale data environments.
- 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).
- Strong understanding of data modeling, indexing, caching, and query optimization.
- Proficiency in automation, scripting, and DevOps practices for database administration (Python, Shell, Ansible, Terraform).
- Knowledge of cloud data services (AWS RDS/Redshift, GCP BigQuery, Azure SQL, Cosmos DB).
Competitive compensation, benefits, and career growth opportunities.
Why Join UsWork with cutting-edge database technologies powering AI, analytics, and mission-critical workloads.