Data Operations Manager / Senior Data Engineer (Snowflake / dbt)
UPPeople · UA ·
- Work mode
- Remote
- Seniority
- Senior
- Employment
- Full time
- Category
- Data engineering
UPPeople · UA ·
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Own the reliability, performance, and cost-efficiency of a modern data stack built on Snowflake, dbt, and managed ELT: tune queries and warehouses, maintain production dbt models, keep pipelines within SLA, and build observability, data quality, and governance standards for data teams.
About the role
We're looking for a hands-on data platform expert to own the reliability, performance, and cost-efficiency of our modern data stack, built on Snowflake, dbt, and managed ELT. You'll be the go-to person for how data flows, how fast it runs, and how much it costs. You'll also shape the operational standards our data teams build on.
If you're a strong Data Architect or Senior Data Engineer who enjoys making platforms run smoothly at scale, we'd love to talk.
What you'll do
Own Snowflake performance and cost. Tune queries, right-size warehouses, track credit consumption, and drive cost optimisation and budget planning.
Keep dbt production-grade. Maintain models, automated tests, documentation, and deployment processes.
Run reliable ELT. Oversee pipelines end to end so data stays available, fresh, and within SLA.
Build observability. Set up monitoring, alerting, and incident management, and lead root cause analysis and prevention.
Set the data quality bar. Define standards, automate validation, and embed observability across the platform.
Govern access and compliance. Manage access controls, governance policies, and regulatory requirements.
Scale good practices. Create runbooks, CI/CD workflows, and engineering standards for data teams.
Partner across functions. Work with Data Engineering, Analytics, BI, Security, and Finance to raise platform reliability and efficiency.
What you bring
Extensive experience in Data Engineering, Analytics Engineering, DataOps, or Data Platform Operations
Strong hands-on Snowflake expertise: administration, performance tuning, warehouse management, and SQL optimisation
Advanced dbt (Core or Cloud) skills, including incremental models, macros, testing, and deployment
Proven experience running production ELT with Fivetran, Airbyte, Stitch, or similar tools
Solid grasp of DataOps practices: CI/CD, version control, automated testing, and deployment pipelines
Track record of implementing data quality frameworks, monitoring, alerting, and incident response
Understanding of data governance, access management, and platform reliability
Nice to have
Data observability tools such as Monte Carlo, Elementary, or Datafold
Orchestration with Airflow, Dagster, or Prefect
Hands-on experience cutting cloud data platform costs, especially Snowflake credits
Familiarity with GDPR and SOC 2
Everest Technologies