Data Platform Engineer: Airflow, Pipelines & Security

Myriad360

Oregon

Hybrid

USD 140,000 - 170,000

Full time

5 days ago

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Job summary

Myriad360 is seeking a hands-on Data Platform Engineer to operate and secure our cloud data platform. You will manage workflows, pipelines, access, and configurations, collaborating with data engineers and analysts to resolve issues and support testing and releases.

You will implement Airflow workflows, build scalable data pipelines, and enforce least-privilege access across environments. The role requires strong SQL, Python, and Git skills, plus experience with Snowflake, BigQuery, Redshift,

Qualifications

Experience administering or supporting a cloud data platform and production workflows.
Experience with dbt, lineage best practices, and stage-dev-prod architecture.
Working SQL skills for validating data, investigating pipeline issues, and troubleshooting warehouse queries.
Working knowledge of Python or another language used for automation.
Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
Hands-on experience with workflow orchestration, scheduling, monitoring, alerting, and recovery.
Experience building scalable data systems and pipelines.
Experience configuring platform environments, integrations, users, roles, permissions, and service accounts.
Familiarity with Git and collaborative testing and release practices.
Strong troubleshooting, documentation, and follow-through.
Ability to coordinate platform changes with analytics engineers and analysts.
Complete ongoing security awareness training and comply with company policies.
Experience with Airflow, Snowflake, and Fivetran.
Experience with Microsoft Fabric or Azure services.
Familiarity with Power BI refreshes and their data platform dependencies.
Experience implementing CI/CD or automated testing.
Familiarity with APIs, OAuth, service accounts, and secure credential management.

Responsibilities

Implement and maintain Airflow workflows, including scheduling, dependencies, monitoring, alerting, and troubleshooting
Build and support data pipelines and integrations across the data platform (warehouse, transformation layer, code repository, etc)
Configure and maintain platform environments, integrations, and settings
Administer users, roles, permissions, and service accounts; apply least-privilege access and secure credential practices, including row-level security
Monitor pipeline freshness, volume, and failures; investigate issues, restore service, and prevent recurring problems
Support GitHub, CI/CD, testing, and documented release practices for platform and pipeline changes
Assess downstream effects of access and configuration changes; coordinate with analytics engineers and analysts
Document operational procedures, ownership, and recovery steps as the environment grows
Identify and escalation security risks to the appropriate Executive Leadership Team member and actively contribute to remediation efforts
Other duties as assigned