AWS SQL DBA Architect & Engineer | Migration & HA Expert

Slalom

Providence (RI)

On-site

USD 138,000 - 158,000

Full time

6 days ago
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Benefits offered by this job

401k match
Health coverage
Wellness stipend
Insurance discounts

Job summary

Slalom is seeking a hands-on SQL DBA with strong AWS experience to support SQL Server migration and modernization initiatives. The role will partner with architects to design, build, optimize, and support SQL Server environments on AWS, including standalone SQL EC2, WSFC clusters, and Always On Availability Groups.

You'll execute migrations, backups, restores, HA/DR activities, troubleshoot performance issues, and drive automation and platform standardization across the data stack.

Qualifications

  • Strong SQL Server DBA experience.
  • Hands-on with WSFC and Always On Availability Groups.
  • Experience migrating SQL Server workloads to AWS.
  • Strong performance tuning and troubleshooting skills.
  • SSIS and SSRS experience.
  • Excellent communication and stakeholder management.

Responsibilities

  • Design, build, and support SQL Server platforms on AWS.
  • Migrate databases, backups, restores, and HA/DR activities.
  • Troubleshoot performance, availability, clustering, and replication issues.
  • Assess current implementations and recommend architectural/operational improvements.
  • Partner with infrastructure, application, and database teams.
  • Support production cutovers and post-migration stabilization.
  • Drive automation and platform standardization.

Skills

SQL Server DBA
WSFC & Always On
AWS migrations
Performance tuning
SSIS/SSRS
Stakeholder mgmt

Job description

Slalom is seeking a hands-on SQL DBA with strong AWS experience to support SQL Server migration and modernization initiatives. The role will partner with architects to design, build, optimize, and support SQL Server environments on AWS, including standalone SQL EC2, WSFC clusters, and Always On Availability Groups.

You'll execute migrations, backups, restores, HA/DR activities, troubleshoot performance issues, and drive automation and platform standardization across the data stack.

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