Data Platform Engineer — Remote, Reliable Pipelines & Security

Ali Aydi; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Ali Aydi is seeking a Data Platform Engineer to manage and secure our cloud data platform and production workflows. You will own end-to-end operations from development to resolution, coordinating with data engineers and analysts to ensure reliable data delivery and platform resilience.

You will implement Airflow workflows, build scalable pipelines, and configure environments, access, and security controls. The role emphasizes testing, release practices, and collaboration across teams.

Qualifications

• Experience administering or supporting a cloud data platform and its 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.

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.
• 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 escalate security risks to the appropriate Executive Leadership Team member and actively contribute to remediation efforts
• Other duties as assigned

Skills

Airflow

dbt

SQL

Python

Snowflake

BigQuery

Redshift

Workflow orchestration

Git

CI/CD

Azure

Power BI

Fivetran

Security awareness

Tools

Airflow

Snowflake

Fivetran

Power BI

Azure

BigQuery

Redshift

dbt

Python

Job description

Ali Aydi is seeking a Data Platform Engineer to manage and secure our cloud data platform and production workflows. You will own end-to-end operations from development to resolution, coordinating with data engineers and analysts to ensure reliable data delivery and platform resilience.

You will implement Airflow workflows, build scalable pipelines, and configure environments, access, and security controls. The role emphasizes testing, release practices, and collaboration across teams.