Senior Cloud Data Ops Engineer

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Summary of Position:

he 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

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