Senior Database DBA - MemSQL / SingleStore

Qode

$120K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of database engineering/administration experience
  • 4-5+ years experience with MemSQL/SingleStore clusters at scale
  • Strong hands-on experience with cluster expansion and partition rebalancing
  • Proven problem-solving abilities for locking issues and data skew
  • Strong Linux system tuning knowledge and experience with monitoring tools

Responsibilities

  • Oversee the full lifecycle of MemSQL/SingleStore clusters
  • Architect and maintain High Availability (HA) and Disaster Recovery (DR) configurations
  • Monitor cluster health, throughput, latency, and capacity while maintaining SLAs
  • Perform advanced performance tuning across various schema and indexing strategies
  • Lead incident response efforts and conduct root cause analyses
  • Enforce database security best practices including encryption and auditing
  • Drive automation processes through scripting and Infrastructure as Code

Benefits

  • Opportunity to work with cutting-edge database technologies
  • Engage in significant scale challenges with petabyte data
  • Contribute to high-impact projects with critical business outcomes
  • Autonomy in managing all aspects of database clusters
  • Collaboration with a team of experts in the field
  • Strong emphasis on continuous learning and professional development
Full Job Description
Job Title: Senior Database DBA - MemSQL / SingleStore

Location: New Jersey / Irving, TX / Tampa, FL

Role Overview

We are seeking a Senior MemSQL / SingleStore Cluster Administrator to own and manage mission-critical, large-scale distributed database platforms. This role requires a pure Database Administrator (DBA) with deep expertise in handling petabyte-scale data, complex distributed clusters, and real-time latency-sensitive workloads.

Core Technical Expectations

Experience handling petabytes of data ingested every 15 minutes in large-scale environments.

Strong expertise managing large MemSQL / SingleStore clusters (multi-node, multi-TB to multi-PB).

Deep understanding of data distribution across aggregators and leaf nodes.

Expertise in:
  • Partitioning and shard key strategy
  • Data skew mitigation
  • Hot partition resolution
  • Worker node and leaf node optimization

Strong table-level knowledge including:
  • Index strategy
  • Thread management
  • Connection pooling
  • Memory limits
  • Query plan optimization

Strong understanding of different MemSQL/SingleStore versions and corresponding architectural/feature changes.

Key Responsibilities

End-to-end ownership of large MemSQL/SingleStore clusters (design, build, upgrade, operate, decommission).

Architect and maintain High Availability (HA) and Disaster Recovery (DR) setups including:
  • Redundancy levels
  • Availability groups
  • Cross-region replication

Plan and execute:
  • Cluster expansion
  • Downsizing
  • Online partition rebalancing
  • Leaf node management with minimal/no downtime

Proactively monitor cluster health, throughput, latency, and capacity; define and maintain SLAs.

Perform advanced performance tuning:
  • Schema design
  • Shard key design
  • Index strategy
  • NUMA and memory tuning
  • Workload management

Implement backup/restore strategies and regularly test DR & failover.

Lead incident response and perform deep root cause analysis.

Enforce database security best practices:
  • Authentication & authorization
  • Encryption
  • Auditing
  • Network controls

Drive automation using scripting (Python/Bash) and Infrastructure as Code.

Maintain documentation, operational runbooks, and standards.

Evaluate new MemSQL/SingleStore features and lead version upgrades and migrations

Required Experience & Skills

10+ years of total database engineering/administration experience.

4-5+ years of deep, production-grade experience administering MemSQL/SingleStore clusters at scale.

Strong hands-on experience with:
  • Aggregators & leaf nodes
  • Licensing and memory limits
  • Cluster expansion & partition rebalancing
  • Replication & failover/failback
  • Proven ability to diagnose:


  • Locking issues
  • Data skew
  • Hot partitions
  • Bad execution plans
  • Strong Linux system tuning knowledge:


  • CPU/NUMA affinity
  • Disk & I/O optimization
  • Networking
  • ulimits & OS-level tuning
  • Experience with monitoring & alerting tools:


  • Prometheus / Grafana
  • Datadog
  • Splunk
  • ELK
  • Strong SQL expertise and scripting (Python/Bash).
  • Experience in Cloud/Container environments (AWS/Azure/GCP, Kubernetes) is highly preferred.

Excellent communication skills with ability to lead production calls and explain technical trade-offs clearly.

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