Senior Data Platform Engineer — Hybrid & Automation Focus

Gemini; Miami (FL); Hybrid; USD 126,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Annual bonus

Equity grant

Health plans

401K matching

Parental Leave

Flexible time off

Job summary

Gemini is seeking a Senior Data Platform Engineer to own the reliability and automation of our data infrastructure. You will manage relational databases like PostgreSQL and Aurora and extend automation to NoSQL and streaming stores in a cloud-native setup.

Collaborating with data, product, and platform teams, you will champion self-service tooling, IaC, and robust observability while operating in a hybrid work model across the United States.

Qualifications

• 5+ years of experience in data platform engineering or similar.
• Deep, specialist-level experience managing and scaling relational databases (PostgreSQL/Aurora).
• Hands-on experience with at least one non-relational datastore and cloud-based data platforms.

Responsibilities

• Automation and Reliability Engineering: build IaC, CLI tools, and CI/CD automation for provisioning, scaling, and failover.
• Database Scaling and Optimization: focus on replication, backup/recovery, and query performance across engines.
• Fleet-wide design: apply guardrails across multiple datastore types (NoSQL, columnar, key-value).
• Observability and SRE practice: define SLOs, monitoring, on-call rotation participation.
• Pipeline integration: work with data and product teams to connect with Kafka/Kinesis and ETL workflows.

Skills

PostgreSQL

Aurora

SRE mindset

Automation tooling

NoSQL

Kafka/Kinesis

Terraform

CI/CD

Python

Tools

Terraform

AWS

Kafka

Job description

Gemini is seeking a Senior Data Platform Engineer to own the reliability and automation of our data infrastructure. You will manage relational databases like PostgreSQL and Aurora and extend automation to NoSQL and streaming stores in a cloud-native setup.

Collaborating with data, product, and platform teams, you will champion self-service tooling, IaC, and robust observability while operating in a hybrid work model across the United States.