Senior Data Engineer - SQL Server, Kubernetes & AWS

ARCHER; Newark (CA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Parental Leave

Paid Time Off

401(k) Plan

Life Insurance

Disability Insurance

Accident Insurance

Employee Stock Purchase Plan

Tuition Reimbursement

Incentive Compensation

Job summary

ARCHER is seeking a senior data platform engineer to operate and improve a self-hosted SQL Server platform on Linux and Kubernetes in AWS. You will ensure availability, performance, security and data integrity while building automation, change capture pipelines, and cost-aware storage management.

The role requires five years of production backend or data platform experience, strong SQL Server skills, and hands-on Kubernetes/AWS/Linux expertise.

Qualifications

• Five+ years building/operating production backend or data platforms.
• Strong SQL Server admin skills; hands-on with Kubernetes, AWS, Linux, and C#/.NET.
• Bachelor’s or Master’s in CS/Engineering or equivalent experience; practical AI experience and responsible AI use.

Responsibilities

• Operate and improve a self-hosted SQL Server platform on Linux and Kubernetes in AWS.
• Build and maintain database automation and change-capture pipelines.
• Manage storage and cost; participate in on-call response and platform design improvements.

Skills

SQL Server Administration

SQL Query & Index Tuning

High Availability & DR

Kubernetes

AWS

C#/.NET

Linux

Database Security

Monitoring & Observability

Change Data Capture

Infrastructure as Code

Terraform

Helm

CI/CD

Artificial Intelligence

Incident Response

Education

Bachelor's or Master's in CS/Engineering or equivalent

Tools

Terraform

Helm

CI/CD tooling

Job description

ARCHER is seeking a senior data platform engineer to operate and improve a self-hosted SQL Server platform on Linux and Kubernetes in AWS. You will ensure availability, performance, security and data integrity while building automation, change capture pipelines, and cost-aware storage management.

The role requires five years of production backend or data platform experience, strong SQL Server skills, and hands-on Kubernetes/AWS/Linux expertise.