SOW198 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. 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 NoSQL / distributed database knowledge Strong Kafka / data streaming knowledge Strong SQL and SQL database experience Database Reliability / production support Terraform / Infrastructure as Code CI/CD and platform automation Python / Shell scripting Monitoring and observability Performance tuning High Availability / Disaster Recovery Capacity planning Production troubleshooting On-call support experience The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America's leading providers of Staffing and Consulting Services. Our success and our clients' success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations. #J-18808-Ljbffr Capgemini