Senior Cloud Data Ops Engineer

Granite Telecommunications•Quincy, MA
•$140,000 - $180,000

About The Position

The Cloud Data Ops team is hiring a Senior Cloud DBA & Data Platform Engineer to support mission-critical relational and time-series data systems across multiple clouds. The role combines hands-on database administration across SQL Server, Postgres (including TimescaleDB), and Oracle with cloud-native operations in GCP and AWS. Work includes performance tuning, platform operations, automation, reliability, and cost efficiency across on-premises, hybrid, and cloud environments.

Requirements

  • Strong hands-on DBA experience with SQL Server, Postgres, Oracle, and TimescaleDB.
  • Deep proficiency in SQL, performance tuning, indexing, execution plan analysis, and workload optimization.
  • Experience operating databases in GCP (CloudSQL, BigQuery, GCE/GCVE) and/or AWS (RDS/Aurora).
  • Solid Linux skills, including bash scripting and system-level troubleshooting.
  • Familiarity with observability and monitoring tools such as pg_stat views, Query Store, Cloud Monitoring, CloudWatch, Zabbix, or Datadog.
  • Ability to support mission-critical production systems in a multi-cloud environment.
  • Strong understanding of DBA fundamentals applied in cloud-native and time-series contexts.

Nice To Haves

  • Experience with Terraform, Azure DevOps (ADO), or other CI/CD/IaC tooling.
  • Exposure to EKS, GKE, or other Kubernetes platforms.
  • Familiarity with Docker and containerized database operations.
  • Experience with OCI or Oracle Cloud services.
  • Background in cloud migration, modernization, or hybrid cloud architectures.

Responsibilities

  • Install, configure, patch, back up, restore, and secure SQL Server, Postgres, Oracle, and TimescaleDB environments, including high availability and disaster recovery.
  • Diagnose and tune database performance using execution plans, indexing strategies, wait-event analysis, and I/O profiling.
  • Optimize relational and time-series workloads, including TimescaleDB hypertables, chunk management, retention policies, and compression strategies.
  • Implement schema changes, index strategies, and query rewrites to improve workload efficiency.
  • Support database lifecycle management across on-premises, GCVE, and cloud-native platforms.
  • Partner with application, analytics, and engineering teams to optimize database-driven workloads.
  • Operate and optimize workloads on CloudSQL, BigQuery, AWS RDS/Aurora, and GCVE-hosted SQL Server.
  • Support migrations from on-premises or VM-based SQL Server, Oracle, and Postgres to managed cloud services.
  • Implement observability across cloud platforms using monitoring, logs, metrics, and traces.
  • Participate in multi-cloud operational readiness, incident response, and performance engineering.
  • Manage and troubleshoot Linux-based Postgres, TimescaleDB, and Oracle environments.
  • Tune system resources, including CPU, memory, I/O, and kernel parameters, to support database performance.
  • Support containerized and orchestrated environments, including Docker, EKS, and GKE, where applicable.
  • Automate DBA and operational tasks using bash, PowerShell, or Python.
  • Contribute to CI/CD workflows and infrastructure automation.
  • Improve reliability through scripting, monitoring, alerting, and self-service tooling.
  • Participate in on-call rotations for critical data systems.

Benefits

  • Position is eligible for a bonus.
  • Onsite fully equipped gyms for employees at zero cost.
  • Health insurance.
  • Dental insurance.
  • Vision insurance.
  • Life insurance.
  • Disability coverage.
  • 401(k) retirement plan with company match.
  • Childcare benefits.
  • Tuition assistance.
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