Senior Cloud Data Ops Engineer

Granite Telecommunications; Quincy (MA); On-site; USD 130,000 - 160,000; Full time

Job summary

A telecommunications firm in Quincy, MA is seeking a Senior Cloud DBA & Data Platform Engineer. The role involves overseeing performance tuning, cloud platform operations, and automation while ensuring reliability of critical data systems across SQL Server, Postgres, and Oracle. The ideal candidate will have strong expertise in cloud environments (GCP and AWS) and must demonstrate proficiency in Linux and scripting languages. This is a key position in a dynamic cloud-native setting, offering opportunities for significant contributions.

Qualifications

• Strong hands-on DBA experience across SQL Server, Postgres, Oracle, and TimescaleDB.
• Ability to operate and optimize databases in GCP and/or AWS.
• Solid Linux skills and system-level troubleshooting.

Responsibilities

• Perform advanced DBA duties including installation, configuration, and tuning.
• Manage and troubleshoot Linux-based database environments.
• Automate operational tasks using scripting.

Skills

DBA experience with SQL Server

DBA experience with Postgres

DBA experience with Oracle

Cloud native skills in GCP

Cloud native skills in AWS

Linux skills

Scripting (bash, PowerShell, Python)

Tools

Terraform

Docker

Kubernetes (EKS, GKE)

Job description

Summary of Position

The Cloud Data Ops team is hiring a Senior Cloud DBA & Data Platform Engineer who brings deep, hands-on DBA expertise across SQL Server, Postgres (w/Timescale) and Oracle, combined with strong cloud-native skills in GCP and AWS. This role is responsible for performance tuning, cloud platform operations, automation, and ensuring the reliability of mission-critical relational and time-series data systems across multiple clouds.

Duties and Responsibilities

Core DBA Responsibilities (SQL Server • Postgres • Oracle • TimescaleDB)

• Perform advanced DBA duties including installation, configuration, patching, backup/restore, HA/DR, and security hardening across SQL Server, Postgres, Oracle, and TimescaleDB.
• Diagnose and tune performance using execution plans, indexing strategies, wait event analysis, and I/O profiling.
• Optimize relational and time series workloads, including hypertables, chunk management, retention policies, and compression strategies in TimescaleDB.
• Implement schema changes, index strategies, and query rewrites to improve workload efficiency.
• Support database lifecycle management across on prem, GCVE, and cloud native platforms
• Partner with application, analytics, and engineering teams to optimize database driven workloads.

Cloud Native Data Platform Operations (GCP & AWS)

• Operate and optimize workloads on CloudSQL, BigQuery, AWS RDS/Aurora, and GCVE hosted SQL Server.
• Apply DBA fundamentals to cloud native services, ensuring performance, reliability, and cost efficiency.
• Support migrations from on prem/VM based SQL Server, Oracle, and Postgres to managed cloud services.
• Implement observability across cloud platforms (Cloud Monitoring, CloudWatch, logs, metrics, traces).
• Participate in multi cloud operational readiness, incident response, and performance engineering.

Linux & Systems Engineering

• Manage and troubleshoot Linux based Postgres, TimescaleDB, and Oracle environments.
• Perform system level tuning (CPU, memory, I/O, kernel parameters) to support database performance.
• Support containerized and orchestrated environments (Docker, EKS, GKE) where applicable.

Automation & Cloud Data Ops Engineering

• Automate DBA and operational tasks using bash, PowerShell, or Python.
• Contribute to CI/CD workflows and infrastructure automation (Terraform preferred).
• Improve reliability through scripting, monitoring, alerting, and self service tooling.
• Participate in on call rotations for critical data systems.

Required Qualifications

• 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 (pg_stat views, Query Store, Cloud Monitoring, CloudWatch, Zabbix, Datadog, etc.).
• 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.

Preferred Qualifications

• 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

EOE/M/F/Vets/Disabled