> tinycto://roles/cm-role-data-platform-engineer
Data Platform Engineer
Specialized Data & Analytics Engineering professional focused on deploying and maintaining enterprise lakehouse infrastructure (apache iceberg, delta lake, trino) and enterprise-grade execution.
Core Responsibilities
- Execute and maintain production-grade solutions for Data Platform Engineer
- Collaborate with cross-functional engineering teams and uphold quality standards
Skills Weighting (Durable vs Perishable)
Adjacent Career Transitions
Data Architect
Domain specialization bridge from Data Platform Engineer to Data Architect
Analytics Engineer
Deep technical transition from Data Platform Engineer into Analytics Engineer
Engineering Manager
Transition from technical individual contribution in Data Platform Engineer to engineering management
Software Architect
Cross-system architectural boundaries beyond local Data Platform Engineer scope
Frequently Asked Questions
What are the core technical competencies required for a Data Platform Engineer?
A Data Platform Engineer focuses on Deploying and maintaining enterprise Lakehouse infrastructure (Apache Iceberg, Delta Lake, Trino); Configuring multi-engine query federation and compute resource isolation. Core responsibilities include: Execute and maintain production-grade solutions for Data Platform Engineer, Collaborate with cross-functional engineering teams and uphold quality standards.
What distinguishes a Data Platform Engineer from adjacent engineering roles?
Unlike adjacent roles, a Data Platform 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 Platform Engineer hold?
A Data Platform Engineer holds primary decision authority over Lakehouse storage table format standards (Iceberg vs Delta), query engine cost quotas.. 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 Platform Engineer?
Progression within Data Platform 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 Platform Engineer?
Salaries for Data Platform 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 Platform 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 Platform Engineer: Core role responsible for deploying and maintaining enterprise lakehouse infrastructure (apache iceberg, delta lake, trino), decision authority over lakehouse storage table format standards (iceberg vs delta), query engine cost quotas., and cross-team execution.