Senior Data Platform Engineer

Overview: This role provides hands-on engineering support for Glassdoor's data platform modernization, migration, and reliability efforts. The goal is to reduce operational support load, modernize legacy Hadoop/Hive/Airflow workloads, and move data-platform capabilities toward Snowflake, Confluent, AWS, and Indeed-aligned infrastructure. Key Responsibilities: - Help migrate Glassdoor infrastructure and data-platform workloads from GD infrastructure to Indeed infrastructure. - Help move the data-platform infrastructure and workloads to AWS us-east-2 (USE2), including required connectivity, deployment, and operational prerequisites. - Enable secure, governed accessibility of Glassdoor data to Indeed data-platform consumers and downstream systems. - Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with Indeed standards. - Support Snowflake, Confluent/Kafka, AWS, and data-platform infrastructure migration and operations across stage and production. - Participate in production troubleshooting, incident response, documentation, runbook creation, and cross-team migration coordination. - Use Terraform/IaC, GitLab, monitoring and documented processes to deliver repeatable and auditable changes. Required Qualifications: - 3+ years of senior-level, hands-on experience in production data-platform engineering, with a platform/DevOps-leaning background and strong data experience. - Strong Python, Bash and SQL skills. - Production experience with both Snowflake and Confluent/Kafka, with a focus on DevOps and operations. Deep experience in one and working knowledge of the other is fine: - Deep Snowflake and AWS, with working Kafka knowledge (topics, connectors, schemas), or - Deep Kafka/Confluent and AWS, with working Snowflake knowledge. - Experience operating or migrating production systems across development, stage and production environments. - Strong troubleshooting, incident-response, testing, documentation and cross-team communication skills. - Experience with least-privilege access, change control, secrets handling and secure operational practices. Preferred Qualifications: - Apache Spark and Hadoop/Hive/HQL, including modernizing or migrating legacy workloads. - Snowpark, dbt alternatives, AWS Glue, Monte Carlo, or other data-quality and catalog tools. - Migrating legacy Airflow, Hadoop or Hive workloads to cloud-native or managed platforms. - Experience working across a company migration or acquisition and aligning systems to a new organization's standards. - Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns. Soft Skills: - Strong cross-functional communication skills. Show more Show less