Description
We are looking for a Data Platform Engineer to modernize, migrate, and maintain reliable data-platform infrastructure across cloud and enterprise environments. The mandatory requirements are 3+ years of senior-level production data-platform engineering experience, strong Python, Bash and SQL, AWS, Snowflake and Kafka/Confluent expertise, production migration and operations, secure access practices, troubleshooting, and upper-intermediate English. Legacy data migration experience is a plus.
Tasks
•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.
Requirements
•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.
•Strong cross-functional communication skills.
Nice to have
•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.
Conditions
•Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget.
•Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews.
•Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm.
•Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands.
•Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized.
•Well-being & support: access local well-being programs and people-focused support tailored to your location.
