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Senior Database Engineer
Senior Database EngineerTier4 Group • Atlanta, GA, US
Senior Database Engineer

Senior Database Engineer

Tier4 Group • Atlanta, GA, US
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  • [job_card.full_time]
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Job Description

Job Description

Database Engineer

Location : Vinings, Georgia - Hybrid

Employment Type : Full-Time

About the Role

We are seeking a Database Engineer to design, build, and operate AWS‑native, production-grade databases at scale. In this role, you will own end-to-end administration, performance tuning, and observability across SQL and NoSQL systems. You will ensure highly available, secure, and reliable data environments while partnering closely with engineering and product teams to support platform functionality, analytics workloads, and mission-critical data operations.

What You’ll Do Database Administration & Operations

  • Own installation, configuration, upgrades, backups / restores, HA / DR, capacity planning, and ongoing maintenance for AWS data services including :

Aurora / RDS (MySQL / Postgres), Redshift, DynamoDB, TimescaleDB.

  • Implement and manage database runtime operations including connection handling, memory tuning, lock contention prevention, and deadlock remediation.
  • Ensure data integrity through validation, de-duplication, and cleanup workflows.

    • Performance Engineering

  • Perform deep SQL and NoSQL performance tuning, including indexes, query plans, hot partition mitigation, connection / session tuning, and auto‑vacuum / maintenance optimization.
  • Conduct root cause analysis (RCA) on latency, throughput, and query performance issues.

    • Cross‑Functional Collaboration

  • Partner with engineering and product stakeholders to support platform enhancements, real-time and batch data processing, reporting pipelines, and analytics workloads.
  • Enable cross-environment consistency and reliable data delivery across multiple use cases.

    • Observability, Monitoring & Automation

  • Build and maintain end-to-end monitoring and dashboards using CloudWatch, Prometheus, or equivalent , covering storage and serving layers.
  • Detect slow queries, track database health, and proactively escalate performance trends or issues.
  • Implement data quality checks, drift detection, environment diffs, and SLO / SLA alerting.

    • Data as Code / DevOps Approach

  • Treat data infrastructure as versioned code, including CI / CD workflows for ETL / ELT pipelines, database scripts, stored procedures, automated tests, validation, and environment promotion with rollback.

    • Must-Have Qualifications

  • 3+ years of data engineering or related experience , with deep AWS expertise supporting production-grade data platforms.
  • 3+ years of DBA / admin experience with both relational and NoSQL databases, including :

    • Aurora / RDS (MySQL / Postgres)

  • Redshift
  • DynamoDB
  • MongoDB
  • Proven experience with installation, upgrades, HA / DR, performance tuning, maintenance, and security across multiple database technologies.
  • 3+ years maintaining distributed databases across large-scale data lifecycles, including partitioning, archiving, and data‑retention strategies.
  • Hands-on experience with automation and observability tools to support proactive scaling, anomaly detection, self‑healing operations, and runtime stability.
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