Platform Engineer

We are looking for a hands-on **Senior Data Platform Engineer** with strong experience in **NoSQL databases, Databricks, Kafka, SQL databases, data migration, and platform reliability**, along with solid programming skills and a strong software engineering mindset. This is a hands-on production role involving building and supporting enterprise-scale data platforms, performing migrations, troubleshooting complex database and streaming issues, automating platform operations, and participating in on-call support.

Role Name: Platform Engineer
Work site: Seattle, WA  (Onsite)

Role Overview

We are looking for a hands-on **Senior Data Platform Engineer** with strong experience in **NoSQL databases, Databricks, Kafka, SQL databases, data migration, and platform reliability**, along with solid programming skills and a strong software engineering mindset.

This is a hands-on production role involving building and supporting enterprise-scale data platforms, performing migrations, troubleshooting complex database and streaming issues, automating platform operations, and participating in on-call support.

Key Responsibilities

- Build, operate, and support enterprise-scale **Cassandra / NoSQL database platforms**
- Create and configure database tables, schemas, users, roles, and access
- Build and configure databases and database environments from scratch
- Support **cloud-managed database platforms**
- Troubleshoot production database, streaming, and platform issues
- Perform Cassandra administration, upgrades, patching, scaling, replication, and performance tuning
- Design and execute **data migrations** between source and target environments
- Configure source/target connectivity, Kafka topics, database connections, and migration workflows
- Validate migrations using record counts, reconciliation, errors, latency, throughput, consistency, and application validation
- Build automation and platform tooling using **Python or another programming** language.
- Support **Kafka-based data streaming** and troubleshoot producers, consumers, topics, partitions, and connectivity
- Work deeply with **Databricks, Spark/PySpark, and large-scale data processing**
- Support and troubleshoot **SQL database platforms**
- Automate platform provisioning, deployment, monitoring, and operational activities
- Build automation using Terraform, CI/CD, scripting, and Infrastructure as Code
- Implement monitoring, alerting, logging, and observability
- Participate in production **on-call support**, incident troubleshooting, and root-cause analysis
- Improve platform reliability, availability, scalability, and operational efficiency

Required Skills

- Strong **Apache Cassandra** experience
- Strong NoSQL / distributed database knowledge
- Strong **Databricks** experience
- Apache Spark / PySpark
- Strong **Kafka / data streaming** knowledge
- Strong SQL and SQL database experience
- Data migration experience
- Database Reliability / production support
- Terraform / Infrastructure as Code
- CI/CD and platform automation
- AWS and/or Azure
- Linux
- Python / Shell scripting
- Kubernetes / Docker
- Monitoring and observability
- Performance tuning
- High Availability / Disaster Recovery
- Capacity planning
- Production troubleshooting
- On-call support experience