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Salary
≈ $87k – $196k per year (Estimated)
Location
Remote (likely Europe)
Seniority
Senior · 3+ years exp

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Oct 30, 2026. Svitla Systems scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Svitla Systems is a global digital solutions and custom software engineering company headquartered in California, with delivery centers across North America, Latin America, Europe, and Asia. Founded in 2003, the company offers end-to-end IT services, including cloud architecture, AI/machine learning integration, data engineering, DevOps, and mobile and web application development.

Svitla Systems Inc. is looking for a Data Platform Engineer for a full-time position (40 hours per week) in Europe. Our client is one of the world’s largest and fastest-growing job sites.

In this position, you will provide hands-on engineering support for data-platform modernization, migration, and reliability efforts. The role is needed to reduce the operational support load, modernize legacy Hadoop, Hive, and Airflow workloads, and move data-platform capabilities toward Snowflake, Confluent, AWS, and our client’s standards.

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 acceptable, in either combination:
    • Deep Snowflake and AWS experience, with working Kafka knowledge (topics, connectors, schemas).
    • Deep Kafka/Confluent and AWS experience, 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.

Will be a plus

  • Experience with Apache Spark and Hadoop/Hive/HQL, including modernizing or migrating legacy workloads.
  • Experience with Snowpark, dbt alternatives, 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 working through 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.

Responsibilities

  • Help migrate our client’s acquired infrastructure and data-platform workloads to our client’s infrastructure.
  • Help move data-platform infrastructure and workloads to AWS us-east-2 (USE2), including the required connectivity, deployment, and operational prerequisites.
  • Enable secure, governed access to the acquired data for our client’s data-platform consumers and downstream systems.
  • Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with our client’s 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.
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