Snowflake/Airflow Administrator

Company Overview Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services. Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed. Position Description Bridgenext is seeking a talented and experienced Snowflake/Airflow Administrator to join our team. This role will focus on administering and monitoring Apache Airflow workflows, managing Snowflake environments, supporting data platform operations, and helping ensure reliable, cost-effective, and high-performing data services. You would be working in Central US business hours and would also be part of the team providing on-call support for high-priority production issues related to data pipelines, Snowflake operations, and platform reliability. Key Responsibilities: Airflow Administration & DAG Monitoring: Administer Apache Airflow environments, monitor DAG execution, troubleshoot failures, review task dependencies, and ensure reliable workflow scheduling and execution. Snowflake Administration: Manage Snowflake provisioning, user access support, warehouse configuration, resource usage, cost monitoring, and performance tuning. Data Pipeline Reliability: Support production data pipelines by investigating failures, coordinating issue resolution, improving operational visibility, and documenting repeatable support procedures. CDC and Streaming Integration Support: Work with Debezium and Kafka Connect to support change data capture and streaming data integration processes. Automation and Scripting: Use Python to automate administrative tasks, improve operational efficiency, and support troubleshooting activities. Infrastructure as Code Support: Use Terraform to manage and support data platform configuration and environment provisioning activities. Source Control and Collaboration: Use Git/GitHub for source control, branching, Pull Requests, PR reviews, and CI/CD-related collaboration. Problem Solving and Ownership: Independently identify operational issues, analyze root causes, recommend improvements, and drive problems to resolution. Must Have Skills Airflow: Strong experience with Airflow administration, DAG monitoring, troubleshooting, scheduling, and operational support. Snowflake Administration: Experience with Snowflake provisioning, cost monitoring, warehouse usage review, access support, and performance tuning. Debezium: Hands-on experience or strong working knowledge of Debezium for change data capture use cases. Kafka Connect: Experience supporting Kafka Connect connectors and related data integration workflows. Python: Ability to write and maintain scripts for automation, troubleshooting, and operational support. Terraform: Working knowledge of Terraform for managing infrastructure or platform configuration. Git/GitHub: Experience with source control, branching, Pull Requests, PR reviews, and CI/CD collaboration. Problem Solving: Ability to independently identify, analyze, and resolve operational and technical problems. Preferred Skills: Azure Platform Familiarity: Exposure to Azure services and cloud-based data platform operations. SQL and Data Analysis: Ability to write SQL queries, analyze data issues, and support troubleshooting activities. Jira and Agile Methodology: Familiarity with Jira, Agile ceremonies, sprint planning, and iterative delivery practices. SaaS/Multi-Client Environments: Experience supporting shared platforms, SaaS products, or multi-client operational environments. dbt: Familiarity with dbt for data modeling, transformation, and analytics engineering workflows. Bridgenext is an Equal Opportunity Employer #LI-AP1 #LI-REMOTE