Senior Data Platform Engineer

Job Title Senior Data Platform Engineer Overview We are seeking a hands-on Senior Data Platform Engineer to support the modernization, migration, and reliability of a large-scale production data platform. This role combines data engineering with platform and DevOps operations across Snowflake, Confluent/Kafka, and AWS. Enterprise experience strongly preferred. Key Responsibilities - Migrate data-platform infrastructure and workloads from legacy environments to modern AWS-based infrastructure. - Support connectivity, deployment, and operational prerequisites for workloads moving to AWS us-east-2. - Enable secure and governed access to data for platform consumers and downstream systems. - Modernize data-platform architecture, tooling, orchestration, storage, and operational practices. - Operate and migrate Snowflake, Confluent/Kafka, AWS, and related data-platform infrastructure across development, stage, and production environments. - Troubleshoot production issues and participate in incident response, testing, documentation, and runbook creation. - Deliver repeatable and auditable infrastructure changes using Terraform or comparable infrastructure-as-code practices, GitLab, monitoring, and documented change processes. - Coordinate migration work and technical dependencies across platform, data, and consuming teams. Must-Have Skills - 3+ years of senior-level, hands-on production data-platform engineering experience with a platform or DevOps orientation and strong data experience. - Strong Python, Bash, and SQL skills. - Production experience with Snowflake, Confluent/Kafka, and AWS through one of two accepted depth profiles. - Deep Snowflake and AWS experience with working Kafka knowledge, including topics, connectors, and schemas; or deep Kafka/Confluent and AWS experience with working Snowflake knowledge. - Experience operating or migrating production systems across development, stage, and production environments. - Strong production troubleshooting, incident-response, testing, documentation, and cross-team communication skills. - Experience with least-privilege access, change control, secrets handling, and secure operational practices. - Hands-on experience using Terraform or infrastructure as code, GitLab, and monitoring to deliver repeatable and auditable changes. Nice-to-Have Skills - Apache Spark and Hadoop, Hive, or HQL experience, including modernization or migration of legacy workloads. - Snowpark, alternatives to dbt, AWS Glue, Monte Carlo, or other data-quality and catalog tools. - Experience migrating legacy Airflow, Hadoop, or Hive workloads to cloud-native or managed platforms. - Experience aligning systems and operating practices during a company migration or acquisition. - Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns. Required Tools & Platforms - Python, Bash, and SQL. - Snowflake. - Confluent and Apache Kafka, including topics, connectors, and schemas. - AWS, including production migration and operations. - Terraform or comparable infrastructure-as-code tooling. - GitLab. - Production monitoring and incident-response tooling. Location, Time & Engagement - Candidates must be based in an eligible EMEA country approved for sourcing. - Full U.S. Central Standard Time coverage at UTC-6 is required. - Remote contract engagement for 45 hours per week. - The anticipated engagement runs through March 31, 2027. - This is not currently a contract-to-hire opportunity. - The successful candidate will use a client-provisioned AWS WorkSpace. Before submission, candidates must complete the AWS WorkSpaces Health connectivity test at https://clients.amazonworkspaces.com/Health and provide a screenshot of the results as supporting evidence.