Senior Data Platform Engineer

Jobtailor; Town of Florida (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor in New York seeks an experienced Database Infrastructure engineer to build IaC, CI/CD-driven automation, and self-service provisioning for relational and non-relational databases.

You will own replication, failover, backups, performance tuning for Amazon Aurora and PostgreSQL, extend tooling across diverse datastores, define SLOs, and collaborate with cross-functional teams on on-call reliability and incident response.

Qualifications

• 5 years of experience in the field.
• Specialist-level experience managing and scaling PostgreSQL, Amazon Aurora, or similar relational databases.
• Experience with replication, failover, backup/recovery, and query/engine performance tuning.
• Experience building automation, self-service tooling, and guardrails for database operations.
• Production experience with at least one non-relational paradigm, such as NoSQL, columnar, document, or key-value databases.
• Familiarity with AWS RDS, Redshift, EMR, Google BigQuery, or Databricks.
• Experience with Infrastructure as Code, specifically Terraform.
• Ability to write scripts, CLIs, or services in languages such as Python or Go.
• Understanding of CI/CD, observability tooling, SLOs/error budgets, and production incident response.
• Experience integrating data pipelines and real-time messaging systems such as Kafka or Kinesis.
• Ability to participate in on-call rotations and own uptime and recovery responsibilities.
• Strong communication and collaboration skills across infrastructure, data, and product teams.

Responsibilities

• Build Infrastructure as Code, CLI tools, and CI/CD-driven automation for self-service database provisioning, scaling, failover, and deployment.
• Serve as the team's relational database specialist for Amazon Aurora and PostgreSQL, covering replication, failover, backup/recovery, and performance.
• Extend operational tooling and guardrails across document, key-value, columnar, and other datastore systems.
• Define and track SLOs and error budgets, build monitoring and alerting, implement high-availability architectures, and participate in on-call rotations.
• Integrate with real-time and batch data pipelines using Kafka, ETL workflows, and processing frameworks.
• Identify and resolve query- and infrastructure-level performance bottlenecks and reduce MTTR.
• Automate repetitive operational work and contribute to documentation, incident retrospectives, and platform playbooks.
• Collaborate with infrastructure, data engineering, and product engineering teams.

Skills

PostgreSQL Management

Amazon Aurora Expertise

Terraform

CI/CD Implementation

Data Pipeline Integration (Kafka)

Tools

AWS RDS

Redshift

EMR

Google BigQuery

Databricks

Job description

Build Infrastructure as Code, CLI tools, and CI/CD-driven automation for self-service database provisioning, scaling, failover, and deployment.
Serve as the team's relational database specialist for Amazon Aurora and PostgreSQL, covering replication, failover, backup/recovery, and performance.
Extend operational tooling and guardrails across document, key-value, columnar, and other datastore systems.
Define and track SLOs and error budgets, build monitoring and alerting, implement high-availability architectures, and participate in on-call rotations.
Integrate with real-time and batch data pipelines using Kafka, ETL workflows, and processing frameworks.
Identify and resolve query- and infrastructure-level performance bottlenecks and reduce MTTR.
Automate repetitive operational work and contribute to documentation, incident retrospectives, and platform playbooks.
Collaborate with infrastructure, data engineering, and product engineering teams.

Requirements

• 5 years of experience in the field
• Specialist-level experience managing and scaling PostgreSQL, Amazon Aurora, or similar relational databases
• Experience with replication, failover, backup/recovery, and query/engine performance tuning
• Experience building automation, self-service tooling, and guardrails for database operations
• Production experience with at least one non-relational paradigm, such as NoSQL, columnar, document, or key-value databases
• Familiarity with AWS RDS, Redshift, EMR, Google BigQuery, or Databricks
• Experience with Infrastructure as Code, specifically Terraform
• Ability to write scripts, CLIs, or services in languages such as Python or Go
• Understanding of CI/CD, observability tooling, SLOs/error budgets, and production incident response
• Experience integrating data pipelines and real-time messaging systems such as Kafka or Kinesis
• Ability to participate in on-call rotations and own uptime and recovery responsibilities
• Strong communication and collaboration skills across infrastructure, data, and product teams

Core Competencies

Demonstrates expertise in managing and scaling relational databases such as PostgreSQL and Amazon Aurora, with a strong focus on automation, Infrastructure as Code, and CI/CD practices. Proficient in integrating data pipelines and ensuring high availability through effective monitoring and incident response.

Highest-signal resume keywords

• PostgreSQL Management
• Amazon Aurora Expertise
• Infrastructure as Code (Terraform)
• CI/CD Implementation
• Data Pipeline Integration (Kafka)

ATS Optimization Keywords

Hard Skills

• Database Provisioning
• Replication
• Failover
• Backup/Recovery
• Performance Tuning
• Automation
• Scripting (Python, Go)
• Monitoring and Alerting
• High-Availability Architecture
• NoSQL Databases

Soft Skills

• Strong Communication
• Collaboration

Industry Keywords

• Infrastructure as Code
• Self-Service Tooling
• SLOs
• Error Budgets
• Incident Response

Tools & Technologies

• AWS RDS
• Redshift
• EMR
• Google BigQuery
• Databricks