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.

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.

Senior Manager, Data Services

Key skills