# Infrastructure & Platform Senior Specialist Solutions Engineer

**Company**: Databricks
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8657553002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_388a8f84-f05

## Description

As an Infrastructure & Platform Specialist Solutions Engineer, you will serve as a trusted technical advisor, helping enterprise customers with the architecture, administration, and security of their Databricks deployments on their cloud of choice (AWS, Azure, or GCP).

## The Impact You Will Have

- Guide enterprise customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design to production deployment.

- Architect secure, scalable enterprise deployments that satisfy complex cloud networking, identity, and security compliance standards.

- Act as a technical specialist in core areas such as cloud infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management.

- Support technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions.

- Collaborate with cross-functional resources to contribute to solutions for complex customer needs.

- Operate with growing autonomy on well-scoped engagements, with guidance from senior architects on the most complex designs.

- Influence product direction by providing structured feedback on customer requirements and competitive gaps.

## What We Look For

- 4+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role.

- Strong expertise across the following areas:

- Security & Identity: Cloud security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols.

- Networking & Deployments: Enterprise cloud networking, network routing, performance optimisation, and large-scale deployment management.

- Platform Administration: High availability, disaster recovery, cluster orchestration, observability and audit, and cloud cost management.

- Infrastructure Automation (InfraOps): Hands-on automation using IaC tools to build, maintain, and scale complex cloud environments.

- Strong coding proficiency in Python and PySpark/Spark.

- Solid grounding in distributed data systems architecture: scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.

- Proficient on the Databricks Platform with a developing technical specialisation in one area.

- Ability to contribute to architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade-off analysis.

- Track record of driving platform adoption and consumption growth within accounts.

- Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.

- Excellent communication skills: able to translate complex architectures into business value for both technical and executive audiences.

- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).

- Willingness to travel up to 30% as needed.

## Nice to Have

- Databricks certifications (Data Engineer, ML, Platform).

- Cloud provider certifications at professional level.

- Experience with competitive platforms.

- Background in a data/AI company or cloud provider.

## Skills

### Required
- Cloud security controls
- Platform/network/data security
- Encryption
- Vulnerability management
- Compliance
- Identity protocols
- Cloud-native IAM
- Enterprise identity services
- Federation standards
- Enterprise cloud networking
- Network routing
- Performance optimisation
- Large-scale deployment management
- High availability
- Disaster recovery
- Cluster orchestration
- Observability and audit
- Cloud cost management
- Infrastructure Automation
- IaC tools
- Python
- PySpark/Spark
- Distributed data systems architecture
- Scalable pipelines
- Streaming architectures
- Lakehouse patterns
- Cloud-native data platforms
- Databricks Platform

### Nice to have
- Databricks certifications
- Cloud provider certifications
- Experience with competitive platforms
- Background in a data/AI company or cloud provider

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8657553002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)