Senior Data Platform Engineer
New
I
In All MediaData platforms
Remote from LATAM; open to talent anywhere in LATAM, US Central Time (CT) overlap (6+ hours)ContractSenior
Salary not disclosed
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Job Details
- Languages
- All interviews, technical documentation, daily team syncs, and operational communications will be conducted in English.
- Experience
- 3+ years of hands-on, senior-level experience in production data platform engineering
- Required Skills
- AWSPythonSQLBashSnowflakeDevOpsTerraform
Requirements
- Have 3+ years of hands-on, senior-level experience in production data platform engineering with a DevOps or Platform Engineering orientation.
- Demonstrate strong programming proficiency in Python, Bash shell scripting, and advanced SQL.
- Have production operational or DevOps experience with both Snowflake and Confluent/Kafka, with deep expertise in one and working operational knowledge of the other.
- Have AWS experience alongside Snowflake and/or Confluent/Kafka expertise.
- Have experience operating, deploying, and migrating production-grade data pipelines across development, staging, and production tiers.
- Demonstrate proficiency in least-privilege security architectures, enterprise change control, secure secrets management, and audited deployment practices.
- Have production debugging and incident-handling skills and experience authoring runbooks.
- Be able to perform all development work within an enterprise-provisioned AWS WorkSpaces virtual desktop environment.
- Verify reliable network latency and connectivity to an AWS WorkSpace region by completing the official health check and submitting a screenshot of passing results with the profile submission.
- Overlap with US Central Time business hours for at least 6 hours during a standard 8-hour workday.
- Conduct interviews, technical documentation, team syncs, and operational communications in English.
Responsibilities
- Lead and execute migration of data platform workloads, pipelines, and storage from legacy infrastructure to enterprise cloud infrastructure.
- Migrate workloads and infrastructure to AWS us-east-2, meeting cross-network connectivity, security, and deployment standards.
- Modernize Hadoop, Hive, and Airflow batch ecosystems toward Snowflake, Confluent Kafka, AWS-managed services, and enterprise platform standards.
- Implement governed, secure data access for downstream systems and business consumers, following compliance and least-privilege principles.
- 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.
- Troubleshoot production issues, participate in on-call incident response and root cause analyses, and author operational runbooks and migration documentation.
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