#138807 - Senior Data Platform Engineer

Key Responsibilities

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Migrate data-platform infrastructure and workloads from legacy environments to modern AWS-based infrastructure.

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Support connectivity, deployment, and operational prerequisites for workloads moving to AWS us-east-2.

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Enable secure and governed access to data for platform consumers and downstream systems.

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Modernize data-platform architecture, tooling, orchestration, storage, and operational practices.

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Operate and migrate Snowflake, Confluent/Kafka, AWS, and related data-platform infrastructure across development, stage, and production environments.

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Troubleshoot production issues and participate in incident response, testing, documentation, and runbook creation.

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Deliver repeatable and auditable infrastructure changes using Terraform or comparable infrastructure-as-code practices, GitLab, monitoring, and documented change processes.

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Coordinate migration work and technical dependencies across platform, data, and consuming teams.

Must-Have Skills

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3+ years of senior-level, hands-on production data-platform engineering experience with a platform or DevOps orientation and strong data experience.

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Strong Python, Bash, and SQL skills.

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Production experience with Snowflake, Confluent/Kafka, and AWS through one of two accepted depth profiles:

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Deep Snowflake and AWS experience with working Kafka knowledge, including topics, connectors, and schemas; or

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Deep Kafka/Confluent and AWS experience with working Snowflake knowledge.

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Experience operating or migrating production systems across development, stage, and production environments.

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Strong production troubleshooting, incident-response, testing, documentation, and cross-team communication skills.

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Experience with least-privilege access, change control, secrets handling, and secure operational practices.

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Hands-on experience using Terraform or infrastructure as code, GitLab, and monitoring to deliver repeatable and auditable changes.

Nice-to-Have Skills

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Apache Spark and Hadoop, Hive, or HQL experience, including modernization or migration of legacy workloads.

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Snowpark, alternatives to dbt, AWS Glue, Monte Carlo, or other data-quality and catalog tools.

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Experience migrating legacy Airflow, Hadoop, or Hive workloads to cloud-native or managed platforms.

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Experience aligning systems and operating practices during a company migration or acquisition.

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Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns.

Required Tools & Platforms

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Python, Bash, and SQL.

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Snowflake.

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Confluent and Apache Kafka, including topics, connectors, and schemas.

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AWS, including production migration and operations.

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Terraform or comparable infrastructure-as-code tooling.

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GitLab.

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Production monitoring and incident-response tooling.

Location, Time & Engagement

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Candidates must be based in an eligible EMEA country approved for sourcing.

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Full U.S. Central Standard Time coverage (UTC-6) is required.

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Remote contract engagement for 45 hours per week.

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This is not currently a contract-to-hire opportunity.

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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.

Originally posted on Himalayas