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Senior Data Systems Engineer
2 weeks ago
We are seeking an experienced professional to lead the design and implementation of high-performance, cloud-based database solutions that meet the scalability and reliability needs of our business.
This role emphasizes performance tuning, efficient data modeling, and the deployment of scalable database architectures that can handle both real-time and batch processing at scale.
The ideal candidate will have expertise in modern data systems, including Elasticsearch/OpenSearch and Clickhouse, as well as strong experience with SQL and NoSQL systems in production environments.
Key Responsibilities:
- Design and optimize database architectures for operational and analytical workloads using Elasticsearch/OpenSearch and Clickhouse.
- Develop efficient, scalable data models for document, search, and columnar storage patterns.
- Continuously monitor and improve query performance, indexing strategies, and cost-effectiveness of managed services.
- Collaborate closely with engineering, data, and DevOps teams to integrate database best practices into applications and pipelines.
- Ensure high availability and performance of structured, semi-structured, and unstructured data workloads.
- Define and enforce best practices for schema governance, access control, and data lifecycle management.
- Evaluate and benchmark new managed database services to support evolving product needs.
- Automate performance monitoring and alerting using tools such as Datadog or CloudWatch.
Requirements:
- 5+ years of experience working with cloud-managed database platforms.
- Deep expertise in Elasticsearch/OpenSearch (indexing, search relevance, aggregation) and Clickhouse (columnar storage, high-throughput queries).
- Strong experience with SQL and NoSQL systems in production environments at scale.
- Proven ability to optimize query performance and storage in high-scale environments.
- Experience integrating databases with application stacks and streaming pipelines (e.g. Kafka).
- Proficiency in at least two programming languages (e.g. NodeJS, Go, Rust) for automation and tooling.
- Understanding of cloud-native security, RBAC, and compliance requirements.
- Experience with database observability, monitoring, and alerting systems.
Preferred Skills:
- Experience with managed databases such as Firestore, MongoDB, or Redis.
- Exposure to other managed data platforms like BigQuery, DynamoDB, Snowflake, etc.
- Familiarity with distributed systems, multi-region data patterns, and high-availability strategies.
- Background in building or supporting analytics, observability, or search platforms.
