# Infrastructure & Platform Senior Specialist Solutions Engineer

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** London, United Kingdom
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** Databricks, AWS, Microsoft Azure, GCP, Terraform, Python, Pyspark, Spark, Cloud Iam, Cloud Networking, Vpc/Vnet, Privatelink, SCIM, OAuth
**Posted:** 2026-09-03

> Provides technical pre-sales and architecture guidance for secure, scalable Databricks deployments across major cloud platforms. The role requires strong cloud infrastructure, identity, networking, infrastructure-as-code, Python, and Spark expertise, plus the ability to engage senior customer stakeholders.

## Job Description

## Responsibilities
- Guide enterprise customers through the full lifecycle of Databricks deployments on AWS, Azure, or Google Cloud, from architecture through production deployment.
- Architect secure, scalable deployments involving cloud networking, private connectivity, identity, and security compliance.
- Advise on cloud infrastructure, infrastructure-as-code, networking, identity management, platform administration, and deployment management.
- Demonstrate custom-built solutions and Databricks differentiation in competitive technical scenarios.
- Collaborate with solution architects, data and solutions architects, forward-deployed engineers, and partners on complex customer needs.
- Provide customer feedback to influence product direction.
- Drive platform adoption and consumption growth within customer accounts.
- Contribute customer-facing content, workshops, thought leadership, and community engagement.

## Requirements
- 4+ years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical role.
- Expertise in cloud security controls, identity, encryption, vulnerability management, compliance, and identity protocols including SCIM, OAuth, SAML, and OIDC.
- Experience with cloud IAM and enterprise identity services, including AWS IAM, Microsoft Entra ID, Google Cloud IAM, AWS IAM Identity Center, and Google Cloud Identity.
- Expertise in enterprise cloud networking, VPC/VNet design, peering, dedicated interconnects, private connectivity, routing, performance optimization, and large-scale deployments.
- Experience with high availability, disaster recovery, cluster orchestration, observability, auditing, and cloud cost management.
- Hands-on infrastructure-as-code and automation experience, including Terraform and cloud-native provisioning tools.
- Strong Python and PySpark/Spark coding proficiency, including live coding, debugging, and solution building.
- Understanding of distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficiency with the Databricks Platform or ability to become proficient rapidly.
- Ability to participate in architecture discussions, whiteboarding, design reviews, and trade-off analysis with senior stakeholders.
- Excellent communication skills with 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%.

## Nice to Have
- Databricks certifications in data engineering, machine learning, or platform administration.
- Professional-level AWS, Azure, or Google Cloud certifications.
- Experience with Snowflake, cloud-native data services, Azure Synapse, or BigQuery.
- Background at a data/AI company or cloud provider.

## Benefits
- Comprehensive regional benefits and perks.

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