Senior Data Platform Engineer

New
S
Svitla Systems Inc.Data platforms
In EuropeFull-TimeSenior
Salary not disclosed
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Job Details

Experience
3+ years of Senior-level, hands-on experience in production data-platform engineering
Required Skills
AWSPythonSQLBashSnowflakeApache KafkaSparkTerraformGitLab

Requirements

  • Bring 3+ years of senior-level, hands-on experience in production data-platform engineering, with a platform/DevOps-leaning background and strong data experience.
  • Have strong Python, Bash, and SQL skills.
  • Have production experience with both Snowflake and Confluent/Kafka, focused on DevOps and operations.
  • Bring deep Snowflake and AWS experience with working Kafka knowledge, or deep Kafka/Confluent and AWS experience with working Snowflake knowledge.
  • Have experience operating or migrating production systems across development, stage, and production environments.
  • Apply strong troubleshooting, incident-response, testing, documentation, and cross-team coordination skills.
  • Have experience with least-privilege access, change control, secrets handling, and secure operational practices.
  • Experience with Apache Spark and Hadoop/Hive/HQL, including legacy workload modernization or migration, is a plus.
  • Experience with Snowpark, dbt alternatives, AWS Glue, Monte Carlo, or other data-quality and catalog tools is a plus.
  • Experience migrating legacy Airflow, Hadoop, or Hive workloads to cloud-native or managed platforms is a plus.
  • Experience with company migrations or acquisitions and aligning systems to new organizational standards is a plus.
  • Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns is a plus.

Responsibilities

  • Migrate acquired infrastructure and data-platform workloads to the client’s infrastructure.
  • Move data-platform infrastructure and workloads to AWS us-east-2 (USE2), including connectivity, deployment, and operational prerequisites.
  • Enable secure, governed access to acquired data for data-platform consumers and downstream systems.
  • Modernize data-platform architecture, tooling, orchestration, storage, and operational practices to align with the client’s standards.
  • Support Snowflake, Confluent/Kafka, AWS, and data-platform infrastructure migration and operations across stage and production.
  • Participate in production troubleshooting and incident response.
  • Create documentation and runbooks, and coordinate migrations across teams.
  • Use Terraform/IaC, GitLab, monitoring, and documented processes to deliver repeatable and auditable changes.
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