LC
#138807 - Senior Data Platform Engineer
Contract type
Freelance
Work mode
Remote · Afghanistan, Albania, Algeria, Andorra +40
Experience
Mid-level · 3+ years
Job description
A hands-on Senior Data Platform Engineer to support the modernization, migration, and reliability of a large-scale production data platform, combining data engineering with platform and DevOps operations across Snowflake, Confluent/Kafka, and AWS.
At a glance
- Employment
- Contract · Independent contractor
- Work mode
- Remote · Afghanistan, Albania, Algeria, Andorra +40
What you'll do
- 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.
What we're looking for
- 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 (topics, connectors, 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.
- Candidates must be based in an eligible EMEA country approved for sourcing.
- Full U.S. Central Standard Time coverage (UTC-6) is required.
Nice to have
- 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.
- Enterprise experience strongly preferred.
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About Lifted (an Upwork Company)
Key facts
- The successful candidate will use a client-provisioned AWS WorkSpace.
- Remote contract engagement for 45 hours per week.
- This is not currently a contract-to-hire opportunity.
