> tinycto://roles/cm-role-data-reliability-engineer
Data Reliability Engineer
Specialized Data & Analytics Engineering professional focused on automating data observability, freshness tracking, and schema drift detection and enterprise-grade execution.
Core Responsibilities
- Execute and maintain production-grade solutions for Data Reliability Engineer
- Collaborate with cross-functional engineering teams and uphold quality standards
Skills Weighting (Durable vs Perishable)
Adjacent Career Transitions
Data Governance Specialist
Domain specialization bridge from Data Reliability Engineer to Data Governance Specialist
Geospatial Data Engineer
Deep technical transition from Data Reliability Engineer into Geospatial Data Engineer
Engineering Manager
Transition from technical individual contribution in Data Reliability Engineer to engineering management
Software Architect
Cross-system architectural boundaries beyond local Data Reliability Engineer scope
Machine Learning Engineer
Deep learning frameworks (PyTorch), loss function optimization, and model evaluation
Frequently Asked Questions
What are the core technical competencies required for a Data Reliability Engineer?
A Data Reliability Engineer focuses on Automating data observability, freshness tracking, and schema drift detection; Implementing data SLAs/SLOs and automated alert triage for silent data corruption. Core responsibilities include: Execute and maintain production-grade solutions for Data Reliability Engineer, Collaborate with cross-functional engineering teams and uphold quality standards.
What distinguishes a Data Reliability Engineer from adjacent engineering roles?
Unlike adjacent roles, a Data Reliability Engineer is specifically NOT expected to handle: Unfocused generalist work without clear domain deliverables; Pure administrative coordination without technical ownership. Seniority tracks encompass entry, mid, senior levels.
What decision authority and hands-on technical ownership does a Data Reliability Engineer hold?
A Data Reliability Engineer holds primary decision authority over Downstream data pipeline halting authority upon detected data corruption.. This role typically maintains an estimated 80% hands-on technical focus with low customer exposure and moderate ambiguity tolerance.
What are the typical promotion ladders and career mobility pathways from Data Reliability Engineer?
Progression within Data Reliability Engineer spans entry → mid → senior seniority tiers. Common adjacent lateral and vertical mobility targets include: Data Engineer, Ai Engineer, Analytics Engineer.
How are compensation benchmarks evaluated for a Data Reliability Engineer?
Salaries for Data Reliability Engineer are aggregated from verified statutory and market reports across 6 tech hubs, normalized with k ≥ 5 cohort suppression to preserve privacy, and evaluated across P10 to P90 percentiles.
Which international visa pathways apply to a Data Reliability Engineer?
Qualifying roles in this family align with statutory shortage criteria under frameworks such as the Germany EU Blue Card (§ 18g AufenthG) and Netherlands Highly Skilled Migrant regulations (Kennismigrant), using official O*NET-SOC (15-2051.00) and ESCO/ISCO-08 classifications.
AI Summary
Data Reliability Engineer: Core role responsible for automating data observability, freshness tracking, and schema drift detection, decision authority over downstream data pipeline halting authority upon detected data corruption., and cross-team execution.