DBA AI First; AWS​/RDS

Join to apply for the DBA AI First (AWS / RDS) role at Simplex.

This role is ideally hybrid and based in Austin, TX. It’s a contract / contract‑to‑hire position with a late‑stage health‑tech company that is looking to bring AI into their data workflows.

$160,000 – $180,000 per year.

As a DBA / Data Engineer
, you will own and optimize our database platforms, while building scalable data pipelines, modeling systems, and analytical infrastructure across AWS and Azure. You’ll work at the intersection of data reliability, pipeline scalability, and AI automation—helping power a high‑performing, data‑driven diagnostic platform.

• Lead operational management of Postgre
  
  SQL and MySQL databases hosted in AWS (RDS, Aurora) and Azure.
• Ensure database availability, performance, backups, replication, and disaster recovery.
• Continuously optimize database queries and indexing to support product performance at scale.
• Implement AI‑augmented tooling and automation for monitoring, tuning, and routine database maintenance.
• Design, build, and maintain scalable data pipelines that support real‑time and batch processing.
• Develop data integration workflows across internal and external data sources, including APIs and partner systems.
• Support data lake and warehouse infrastructure, optimizing for performance and cost‑efficiency.
• Define and enforce best practices for data quality, lineage, and schema governance.
• Enable analytics, AI, and product teams by delivering trusted, well‑structured datasets and models.

• Identify opportunities to incorporate AI into data workflows (e.g., anomaly detection, data validation, pipeline optimization).
• Champion adoption of AI‑based tools and automation across database and data engineering operations.
• Experiment with and integrate modern AI agents, copilots, and models to accelerate data workflows.

• 5+ years of experience in a combined Database Administration and/or Data Engineering role.
• Deep experience administering Postgre
  
  SQL and MySQL in production, cloud‑native environments.
• Strong experience building and scaling data pipelines with tools like Airflow, DBT, or similar.
• Hands‑on skills with AWS (including RDS, Aurora, S3, Glue, Lambda) and familiarity with Azure data services.
• Proficient in Terraform and modern CI/CD tools (e.g., Git Lab CI/CD).
• Strong scripting ability (e.g., Python, Bash) for automation and workflow orchestration.
• Committed to working in an AI‑first environment—excited by rapid learning and tool integration.
• Detail‑oriented problem solver who values performance, scalability, and reliability.
• Collaborative, communicative, and comfortable in a fast‑paced, high‑growth environment.

• AWS or Azure certifications.
• Experience with stream processing (e.g., Kafka, Kinesis) and real‑time data architecture.
• Familiarity with observability stacks like Prometheus, Grafana, or Datadog.
• Exposure to security, compliance, and auditing frameworks (HIPAA, SOC2, etc.).
• Passion for modern AI tooling and its impact on data infrastructure and engineering workflows.

Mid‑Senior level

Full‑time

Health and Human Services; IT Services and IT Consulting

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