#138807 - Senior Data Platform Engineer
At a glance
Senior Data Engineering role at Lifted, an Upwork Company™. Remote, Åland Islands · contract.
Pay not stated Data Engineering salary
remoteroles summary, based on the employer's posting.
What you'll do
- Move data platform systems and workloads off legacy infrastructure onto AWS, including the connectivity and deployment work needed for us-east-2
- Run and migrate Snowflake, Confluent/Kafka and AWS services across development, stage and production environments
- Improve platform architecture, orchestration, storage and operating practices while providing governed data access
- Respond to production incidents, test changes, document procedures and build runbooks for ongoing operations
- Use infrastructure as code, GitLab and monitoring to make auditable changes, coordinating dependencies with platform, data and consuming teams
What you bring
- At least three years of senior-level, hands-on production data platform engineering with a platform or DevOps focus and strong data experience
- Strong Python, Bash and SQL skills, plus production experience with AWS and deep Snowflake or Kafka/Confluent expertise
- Experience running or migrating production systems across development, stage and production, including incident response and troubleshooting
- Hands-on use of Terraform or comparable infrastructure-as-code tools, GitLab and monitoring to deliver repeatable changes
- Experience with secure access, secrets handling and change control in production environments
Who this fits
This suits a senior, hands-on engineer who can combine data platform work with operational and DevOps responsibilities. You must live in an approved EMEA country and cover the full U.S. Central Standard Time workday. The remote contract is for forty-five hours per week and is not currently contract-to-hire. The role uses a client-provisioned AWS WorkSpace.
From the employer
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.
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.
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