Elite Talent Network
The ComputeLogic
Certified Bench.
Not a job board. Not a recruiter with LinkedIn premium. A proprietary vetting system built by Databricks practitioners — for organisations that cannot afford a six-month ramp.
ComputeLogic Certified™
Every engineer passes our 3-stage proprietary vetting process.
Databricks certifications verified. Live architecture review scored. Reference checks completed before you see a single CV.
Only ~12% of applicants earn CL Certified status
Our Proprietary System
How We Vet: The 3-Gate Process
We don't find people on LinkedIn and forward CVs. Every CL Certified engineer passes three scoring gates — only those who clear all three join the bench.
Technical Deep-Dive
Live Coding Challenge
Candidates complete a 90-minute, proctored Databricks coding challenge covering Spark optimization, Delta Lake ACID operations, and Unity Catalog query planning. No LeetCode puzzles — real platform problems.
Timed: 90-min live coding challenge on Databricks
Architecture Interview
Logic Assessment
A senior ComputeLogic principal runs a whiteboard architecture session. We assess system design thinking: how they'd model a Medallion Architecture for a specific domain, handle late-arriving data, and design a governance-first Unity Catalog hierarchy.
Architecture review board with a senior CL principal
Culture Sync
Deployment Readiness
The final stage. We verify client-facing communication, documentation standards, and delivery methodology alignment. Reference checks completed. You receive the full assessment scorecard before your first interview.
Culture alignment + reference check before placement
The Bench
Engineers You Can Deploy in 72 Hours
Data Engineers
Photon-tuned pipeline builders who own Delta natively
Specialists in AQE-optimised Spark jobs, Structured Streaming ingestion, and Zero-Copy Delta Sharing. Our engineers do not just build pipelines — they instrument them with DLT quality expectations and cost-efficient cluster policies from day one.
Core Capabilities
- Delta Live Tables with Great Expectations integration
- Medallion Architecture: Bronze → Silver → Gold with Z-Order
- Databricks Autoloader & Structured Streaming at scale
- Spark optimization: broadcast joins, AQE, partition pruning
- dbt on Databricks + Unity Catalog model governance
Typical ramp time: Day 1. Databricks Spark Associate certified.
Platform Architects
Governance-first Lakehouse designers for enterprise scale
Senior architects who design the Unity Catalog topology, multi-workspace RBAC hierarchy, and data mesh domain boundaries before a single table is created. They eliminate the technical debt that comes from governance bolt-ons.
Core Capabilities
- Unity Catalog design: metastore, catalog, schema hierarchy
- Multi-workspace and multi-cloud topology with Delta Sharing
- Row/column-level FGAC + Attribute-Based Access Control
- Data mesh ownership frameworks with clear SLA contracts
- Databricks FinOps: cluster policies, spot strategy, Photon ROI
Databricks Champion Verified. Architecture review on day 1.
ML Engineers
Private LLMOps practitioners on Mosaic AI
End-to-end ML practitioners who fine-tune DBRX and open-source models on your proprietary data estate, deploy to Model Serving endpoints with sub-200ms P95 latency, and instrument with MLflow for full experiment reproducibility.
Core Capabilities
- Mosaic AI fine-tuning: DBRX, LLaMA, Mistral on private data
- MLflow: experiment tracking, model registry, reproducibility
- RAG pipelines: Vector Search + embedding generation at scale
- Feature Store engineering for real-time + batch features
- Model monitoring: drift detection, A/B testing, shadow mode
Mosaic AI certified. LLMOps deployment in under 2 weeks.
Need a Databricks Engineer by Next Sprint?
Tell us the role, the stack, and the start date. We'll have pre-vetted CL Certified profiles — with full assessment scorecards — in your inbox within 72 hours. No recruitment theatre, no wasted interviews.
CL Certified profiles · Scorecard included · 72h SLA