Senior Manager, Data Services

Full TimeRemoteTeam 1,001-5,000Since 2014H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

24 days ago

Salary

Not specified

Bachelor Degree8 yrs expEnglishAirflowAzureCloudETLSSIS

Job Description

• 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.

Job 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

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