Data Operations Manager
Role details
Job location
Tech stack
Job description
The Data Operations Manager is responsible for ensuring the reliability, performance, and efficiency of our modern data platform. Working at the intersection of data engineering, platform operations, and team enablement, this role owns the operational health of our Snowflake data warehouse, dbt transformation layer, and ELT pipelines., Platform Operations & Reliability
- Own the operational health of the Snowflake environment, including warehouse sizing, query performance optimisation, and cost management
- Monitor and maintain dbt project health, including model performance, test coverage, and documentation standards
- Ensure ELT pipeline reliability across ingestion tools (Fivetran, Airbyte, Stitch, or similar), with appropriate alerting and incident response processes
- Manage data freshness SLAs and communicate proactively when issues arise
Cost & Resource Management
- Monitor and optimise Snowflake credit consumption, identifying inefficient queries and recommending warehouse configurations
- Implement resource monitors, tagging strategies, and chargeback models where appropriate
- Partner with Finance to forecast data platform costs and manage budget
Governance & Quality
- Establish and enforce data quality frameworks using dbt tests, freshness checks, and anomaly detection
- Maintain access control policies and ensure compliance with data governance requirements
- Own the incident management process for data issues, including root cause analysis and prevention measures
Enablement & Process
- Define and maintain operational runbooks for common tasks and incident response
- Support data engineers and analysts with best practices for dbt development, including code review standards and deployment processes
- Champion observability tooling (Monte Carlo, Elementary, dbt Cloud, or similar) to provide visibility into data health
Collaboration
- Work closely with Data Engineering on infrastructure improvements and architectural decisions
- Partner with Analytics and Business Intelligence teams to understand data consumer needs and prioritise reliability improvements
- Coordinate with Security and Compliance on audit requirements and access reviews
Requirements
Do you have experience in Test automation?, * Extensive experience in data engineering, analytics engineering, or data platform roles
- Strong hands-on experience with Snowflake administration and SQL optimisation
- Proficiency with dbt (Core or Cloud), including advanced features like incremental models, macros, and testing frameworks
- Experience operating ELT pipelines at scale with tools like Fivetran, Airbyte, or custom solutions
- Understanding of DataOps principles and CI/CD for data (version control, automated testing, deployment pipelines)
Desirable
- Experience with data observability platforms (Monte Carlo, Elementary, Datafold)
- Familiarity with orchestration tools (Airflow, Dagster, Prefect)
- Background in cost optimisation for cloud data platforms
Knowledge of data governance frameworks and compliance requirements (GDPR, SOC2)
Benefits & conditions
- 'Holiday Buy Scheme'
- Annual bonus
- Generous discounts on Haven and Warner Hotels holidays for you, your family and friends
- Comprehensive wellbeing support
- Access to the Bourne Leisure corporate box at the O2 Arena ,London
- Exclusive discounts with corporate partners
- Exciting career pathways, including Learning and Development opportunities such as Apprenticeships and Degrees
- Enhanced family friendly policies and pay (eligibility criteria applied), * Holiday allowance that rises with service, plus a 'Holiday Buy Scheme'
- Annual bonus
- 20% discount on both Haven and Warner Hotels holiday for you, family and friends
- Comprehensive wellbeing support
- Access to the Bourne Leisure corporate box at the O2 Arena ,London
- Exclusive discounts with corporate partners
- Exciting career pathways, including Learning and Development opportunities such as Apprenticeships and Degrees
- Enhanced family friendly policies and pay (eligibility criteria applied)