GoHealth Urgent Care

Senior Manager, Data Services

GoHealth Urgent Care

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

AirflowAzureCloudETLSSIS

About the role

  • Own the day-to-day and strategic operation of the Company’s enterprise data platforms, including modern cloud systems and legacy data environments (i.e. Snowflake).
  • Ensure platform stability, performance, security, and cost management.
  • Lead data ingestion, transformation, and orchestration processes across modern and legacy tooling.
  • Establish and enforce standards for how data is built, promoted, and released for downstream use.
  • Partner with Finance, Marketing, Growth, Operations, and Business Intelligence (DEMI) teams to ensure data is accurate, timely, and ready for decision-making.
  • Define and manage production support processes, including on-call coverage, escalation, and root cause analysis.
  • Stabilize and document legacy SSIS and related pipelines while defining a clear modernization path with Fivetran.
  • Reduce manual processes, duplicated logic, and person-dependent workflows.
  • Embed data quality checks and validation into pipelines (dbt , airlfow).
  • Lead, mentor, and develop data engineering and platform team members.
  • Prioritize work based on business risk, operational impact, and long-term platform health.

Requirements

  • 8+ years of experience in data engineering, analytics engineering, or data platform roles.
  • 3+ years of experience leadership, specifically leading enterprise data or platform teams.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
  • Hands-on experience operating production data systems with defined uptime, delivery, and support expectations.
  • Strong working knowledge of cloud data warehouses, analytics engineering tools (e.g., dbt or equivalent), orchestration frameworks (e.g., Airflow or equivalent), and ELT tools (e.g., Fivetran or equivalent).
  • Experience supporting and stabilizing legacy ETL systems such as SSIS and managing hybrid data environments.
  • Familiarity with Azure-based data infrastructure & snowflake, security, and cost considerations.
  • Proven ability to lead teams, set priorities, and build sustainable operating models.
Benefits
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringanalytics engineeringdata platform managementdata ingestiondata transformationdata orchestrationdata quality checksroot cause analysiscloud data warehousesELT tools
Soft Skills
leadershipmentoringprioritizationteam developmentcommunicationcollaborationproblem-solvingstrategic thinkingorganizational skillsdecision-making