Senior Data Platform Engineer

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.