#138807 - Senior Data Platform Engineer
Lifted, an Upwork Company™ · Remote · Location not stated
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First recorded by Psst: 4 November 2026. Sign in with Google to continue to the employer. A free account is enough.
The 20-second read
- Experience
- Senior
- Where you can live
- Location not stated
- Skills and tools
- sql, python, aws, terraform, documentation, troubleshooting
- Time zone
- UTC-6
- Job type
- Contract or freelance
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Job details
- Where you can work
- Location not stated
- Employment type
- Contract
- Advertised pay
- Not stated by the employer
- Experience
- Senior
- Employer publication date
- 3 November 2026
- First recorded by Psst
- 4 November 2026
- Last checked at the source
- 5 November 2026
About the job
Key Responsibilities
- 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.
Must-Have Skills
- 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, including topics, connectors, and 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.
Nice-to-Have Skills
- 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.
Required Tools & Platforms
- Python, Bash, and SQL.
- Snowflake.
- Confluent and Apache Kafka, including topics, connectors, and schemas.
- AWS, including production migration and operations.
- Terraform or comparable infrastructure-as-code tooling.
- GitLab.
- Production monitoring and incident-response tooling.
Location, Time & Engagement
- Candidates must be based in an eligible EMEA country approved for sourcing.
- Full U.S. Central Standard Time coverage (UTC-6) is required.
- Remote contract engagement for 45 hours per week.
- This is not currently a contract-to-hire opportunity.
- The successful candidate will use a client-provisioned AWS WorkSpace.
We are seeking a hands-on Senior Data Platform Engineer to support the modernization, migration, and reliability of a large-scale production data platform. This role combines data engineering with platform and DevOps operations across Snowflake, Confluent/Kafka, and AWS.
Enterprise experience strongly preferred.
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