Senior Manager, Data Services
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