DecisionForest
Forward Deployed Engineer - Databricks
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Forward Deployed Engineer - Databricks
Forward Deployed Engineer – Databricks Specialist
Who we are
DecisionForest is a pure-play Databricks Consulting Partner, specialising in modern and scalable Data & AI platforms.
Salary & Benefits
- Competitive salary: £75,000 - £95,000 per annum (based on experience)
- Discretionary bonus: Up to 10%
- Location: Remote (UK-based in England). Customer visits and office attendance required.
The Role
As a Forward Deployed Engineer, you’ll work directly with customer teams to design, build, and deploy production Databricks solutions while solving real-world business challenges. You’ll bridge the gap between technical engineering and business impact, helping organisations harness the full potential of the Databricks platform through:
- Data Engineering: Building robust pipelines (PySpark, SQL, Delta Lake)
- Lakehouse Architecture: Designing scalable bronze → silver → gold layers
- Governance & Security: Implementing Unity Catalog, permissions, and compliance
- Performance & Cost: Optimising performance and controlling costs at scale
- AI & Modern Analytics: Provisioning solutions for AI/ML and operational use cases
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
This is a customer-facing role requiring: ✔ Attendance in discovery sessions and stakeholder alignment ✔ Technical delivery (deployment, troubleshooting, documentation) ✔ Adoption of best practices and handover to internal teams
Key Responsibilities
- Embedded Engineering: Co-design production Databricks solutions in client environments.
- Development:
- Build pipelines in PySpark, SQL, Workflows, and Delta Lake.
- Develop hybrid architectures across cloud providers (Azure/AWS).
- Lakehouse & Governance:
- Define Lakehouse patterns (bronze-silver-gold).
- Roll out Unity Catalog and governance structures.
- Migrations & Modernisations: Support legacy to modern data platform transitions.
- Performance & Troubleshooting: Investigate and resolve cost, data quality, reliability, and performance issues.
- Implementation Patterns: Extract repeatable solutions and refineDecisionForest's internal approach.
- Stakeholder Engagement: Clarify technical requirements for non-technical teams, from cloud architets to leadership.
- Pre- & Post-Sales Support: Advise prospects and assist clients with Databricks adoption.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What We Need
Experience & Technical Requirements
- 4+ years in data engineering, platform engineering, analytics, or technical consulting.
- Proven track record: At least two end-to-end Databricks production implementations.
- Hands-on expertise with:
- PySpark (distributed computing: partitioning, optimisations).
- Databricks workloads: Lakeflow, notebooks, Repos, SQL Warehouses, cluster/serverless compute.
- Cloud platforms (AWS & Azure preferred): storage, networking, security.
- Lakehouse architecture (warehouse patterns, metadata, lineage).
- CI/CD & Modern SDL: Git-based workflows, terraform, code reviews, scalable deployments.
- Debugging: Ability to diagnose complex data issues across; data quality → latency → cost.
- People-Skills:
- Clear communication: bridge language gap between developers and business teams.
- Self-motivation: rapid onboarding via curiosity and continuous learning.
Must-Haves
- Solid grasp of regulatory compliance (governance, security, auditability in data systems).
Outperform, Innovate, Grow with DecisionForest.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location