
Database Lead
1 day ago
We are seeking a highly skilled and hands-on Database Lead / Architect with expertise across relational, NoSQL, and in-memory databases. This role demands deep technical mastery, particularly with Aerospike 8.0 and/or MongoDB, combined with strong proficiency in traditional RDBMS (Oracle, SQL Server, MySQL, PostgreSQL) and Redis. The candidate must be capable of designing enterprise-scale systems from scratch, implementing advanced business logic in SQL/NoSQL, and ensuring performance, scalability, and high availability.
Responsibilities
Architecture & System Design
- Design and lead end-to-end database architectures for high-concurrency, mission-critical applications.
- Architect hybrid solutions combining RDBMS, NoSQL (Aerospike 8.0, MongoDB), and Redis for caching.
- Implement partitioning, sharding, replication, clustering, and geo-distributed strategies for scalability.
- Leverage in-memory indexes and advanced Aerospike 8.0 features (e.g., strong consistency namespaces, secondary indexes, XDR, UDFs).
- Apply MongoDB advanced concepts: multi-document transactions, aggregation pipelines, sharding, replica sets, time-series collections.
Database Development & Business Logic
- Develop complex business logic using SQL (PL/SQL, T-SQL, PostgreSQL functions, MySQL routines) and NoSQL frameworks.
- Write and optimize UDFs, stored procedures, and advanced query pipelines across multiple databases.
- Standardize best practices for schema design, indexing, and query optimization.
Performance & Scalability
- Conduct deep performance tuning at query, schema, and cluster levels.
- Implement in-memory caching strategies (Redis, Aerospike in-memory mode).
- Optimize database access patterns for low-latency, high-throughput workloads.
- Monitor, analyze, and resolve performance bottlenecks using query analyzers, profiling tools, and cluster metrics.
Leadership & Collaboration
- Act as the technical authority for database solutions within the organization.
- Lead design reviews, mentor developers, and enforce coding standards.
- Collaborate with application architects, data engineers, and DevOps teams to integrate databases seamlessly.
- Evaluate emerging database technologies (e.g., NewSQL, cloud-native DBs) and recommend adoption.
Required Skills & Qualifications
- RDBMS Expertise: Oracle PL/SQL, MS SQL Server (T-SQL), MySQL, PostgreSQL.
- NoSQL Expertise:
- Aerospike 8.0: namespaces, strong consistency, geo-distributed clusters, XDR, UDFs, secondary indexes, hybrid memory models.
- MongoDB: replica sets, sharding, aggregation framework, time-series collections, advanced indexing.
- In-memory databases: Redis (clustering, pub/sub, streams).
- Strong proficiency in partitioning, sharding, clustering, replication, and HA/DR strategies.
- Proven track record of designing database systems from scratch for large-scale, real-time applications.
- Deep knowledge of performance tuning, query optimization, and indexing strategies.
Preferred Qualifications
- Cloud-native database services: AWS (Aurora, DynamoDB, DocumentDB), Azure Cosmos DB, GCP Spanner.
- Exposure to streaming platforms (Kafka, Pulsar) and big data ecosystems (Spark, Hadoop).
- Knowledge of microservices database integration patterns.
- Advanced degree in Computer Science, Information Systems, or related field.
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