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…