Data Platform Engineer

In All Media

. Lead and execute migration of data platform workloads, pipelines, and storage from legacy corporate infrastructure to enterprise cloud infrastructure .

Posted 11/2/2026full-timeRemote • Colombia, Peru, Costa Rica, Argentina, BoliviaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in migrating data platforms to AWS, implementing secure data access models, and managing production environments using Snowflake and Confluent Kafka. Proficient in DevOps practices, including automation with Terraform and GitLab CI/CD, while ensuring compliance with security and operational standards.

Highest-signal resume keywords

AWS MigrationSnowflake ManagementConfluent Kafka OperationsTerraform AutomationProduction Incident Handling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingShell ScriptingAdvanced SQLData Pipeline DeploymentLeast-Privilege Security Architectures

Soft Skills

Cross-Functional CommunicationDebugging SkillsRunbook Authoring

Tools & Technologies

AWSSnowflakeConfluent KafkaTerraformGitLab CI/CD

Industry Keywords

Data Platform EngineeringDevOpsProduction OperationsCloud InfrastructureData Access Models

Tech Stack

Tools & technologies

AirflowApacheAWSCloudHadoopKafkaPythonShell ScriptingSnowflakeSparkSQLTerraform

About the role

Key responsibilities & impact

Lead and execute migration of data platform workloads, pipelines, and storage from legacy corporate infrastructure to enterprise cloud infrastructure
Migrate workloads and infrastructure to AWS us-east-2, ensuring cross-network connectivity, security prerequisites, and deployment standards
Modernize Hadoop, Hive, and Airflow batch ecosystems toward Snowflake, Confluent Kafka, and AWS-managed services
Implement governed and secure data access models for downstream systems and business consumers
Operate, maintain, and monitor production and staging environments across Snowflake, Confluent Kafka, and AWS
Use Terraform and GitLab CI/CD to codify, audit, and automate configurations, platform changes, and environment setups
Participate in production troubleshooting, on-call incident response, and root cause analyses
Author operational runbooks and migration documentation
Collaborate with distributed engineering teams with at least six hours of overlap during US Central Time business hours

Requirements

What you’ll need

3+ years of hands-on, senior-level experience in production data platform engineering with a strong DevOps / Platform Engineering orientation
Strong programming proficiency in Python, shell scripting (Bash), and advanced SQL
Production operational/DevOps experience with both Snowflake and Confluent/Kafka
Deep expertise in either Snowflake and AWS with solid operational knowledge of Kafka, or Confluent/Kafka and AWS with solid operational knowledge of Snowflake
Experience operating, deploying, and migrating production-grade data pipelines across development, staging, and production tiers
Proficiency in least-privilege security architectures, enterprise change control, secure secrets management, and audited deployment practices
Strong debugging, production incident-handling, runbook authoring, and cross-functional stakeholder communication skills
Ability and requirement to perform all development work within an enterprise-provisioned AWS WorkSpaces virtual desktop environment
Reliable network latency/connectivity to an AWS WorkSpace region; must complete the official health check and submit a passing-results screenshot
All interviews, technical documentation, daily team syncs, and operational communications conducted in English
Nice-to-have: experience with Apache Spark, Hadoop, Hive/HQL, Airflow, Snowpark, AWS Glue, data lakehouse formats, data observability platforms, corporate integrations, acquisitions, or system alignments

Benefits

Comp & perks

100% remote contractor position
Contract directly with In All Media
Minimum 6-hour overlap with US Central Time business hours