Senior Cloud Data Platform Engineer - Multi-Cloud & DBA

Granite Telecommunications, LLC.; Quincy (MA); Presencial; USD 140 000 - 180 000; Tempo integral

Resumo da oferta

Granite Telecommunications, LLC., headquartered in Quincy, MA, seeks a Senior Cloud DBA & Data Platform Engineer with hands-on DBA experience across SQL Server, Postgres (Timescale) and Oracle, plus strong cloud skills in GCP and AWS.

You will drive performance tuning, cloud platform operations, automation, and reliability of relational and time-series data systems across multiple clouds, collaborating with application, analytics and engineering teams.

Qualificações

• 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 and/or AWS (RDS/Aurora/CloudSQL/BigQuery).
• Solid Linux skills, including bash scripting and system level troubleshooting.
• Familiarity with observability/monitoring tools (Cloud Monitoring, CloudWatch, pg_stat views, Datadog, etc.).
• Ability to support mission critical production systems in a multi cloud environment.

Responsabilidades

• Perform advanced DBA duties across SQL Server, Postgres, Oracle and TimescaleDB including HA/DR and security hardening.
• Diagnose and tune performance using execution plans, indexing, and I/O profiling.
• Manage cloud native and on premise migrations to managed cloud services.
• Implement observability, automation, and CI/CD workflows to improve reliability.

Conhecimentos

DBA experience

SQL tuning

GCP/AWS multicloud

Linux scripting

Observability tools

Multi-cloud ops

DB fundamentals

Ferramentas

Terraform

Azure DevOps

Docker

Kubernetes

Descrição da oferta de emprego

Granite Telecommunications, LLC., headquartered in Quincy, MA, seeks a Senior Cloud DBA & Data Platform Engineer with hands-on DBA experience across SQL Server, Postgres (Timescale) and Oracle, plus strong cloud skills in GCP and AWS.

You will drive performance tuning, cloud platform operations, automation, and reliability of relational and time-series data systems across multiple clouds, collaborating with application, analytics and engineering teams.