# Data Platform Admin (Remote) at Myriad360

> Remote · worldwide · Unspecified · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Amyriad360%3A8924434002 (read 2026-11-11).

## Facts (observed)

- Company: [Myriad360](https://alderhq.app/companies/myriad360)
- Location text: Remote - International; Remote - International (Contractor)
- Where it can be done from (inferred): Remote · worldwide (evidence: "Remote role open worldwide")
- Posted: 2026-10-30 (12 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://boards.greenhouse.io/myriad360/jobs/8924434002?gh_jid=8924434002
- Skills listed (inferred): Python, Azure, Airflow, Snowflake, dbt, SQL

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### Who You Are

You’re hands-on with data platforms and production workflows. You troubleshoot problems, improve how systems operate, and take ownership from investigation through resolution. You’re comfortable making progress independently and working closely with a small data team.

### About The Role

This role reports to the Director of Enterprise Data & Analytics and works closely with data engineers and analysts to operate and secure the data platform. You will manage workflows, pipelines, integrations, access, and platform configuration; monitor and resolve operational issues; and support testing and release practices. You will also document ownership, procedures, and recovery steps to keep the platform reliable as the company grows.

### Other responsibilities include

- 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 escalate security risks to the appropriate Executive Leadership Team member and actively contribute to remediation efforts
- Other duties as assigned
### Desired skills and experience

- 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
- Strong troubleshooting, documentation, and follow-through
- Ability to coordinate platform changes with analytics engineers and analysts, including assessing downstream effects
- 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
- Experience supporting a growing company with evolving systems or acquisitions
- IT, VAR, distribution, or supply chain data experience
### What Success Looks Like

- Workflow failures, stale data, and unusual changes in data volume are detected and addressed promptly
- Platform configurations, integrations, and access are managed consistently and securely
- Ingestion workflows have clear owners, documentation, and recovery steps
- New sources and integrations can be set up through a repeatable process
- Platform and pipeline changes are tested, documented, and coordinated with the teams responsible for downstream models and reports
- Analytics engineers and analysts can rely on stable, timely data and platform services
- Platform operations do not depend on undocumented knowledge held by one person
A Little About Us

Our mission is to challenge and enable our employees to achieve great things.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Amyriad360%3A8924434002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.