Infrastructure & Platform Specialist Solutions Architect (SSA)

databricks · Londonsenior

In short

▸Arquitecto técnico especializado en plataformas de Databricks para clientes enterprise en la nube.
▸Diseña, implementa y protege despliegues escalables en AWS, Azure o GCP con enfoque en seguridad, red y automatización.
▸Destaca por influir en productos y ganar competencias con soluciones personalizadas y liderazgo técnico.

Fluent English required for customer and team collaboration

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓8+ años en arquitectura de soluciones, pre-ventas técnicas o roles técnicos senior
✓Experto en seguridad e identidad: IAM nativo de nube, SCIM, SAML, OAuth, OIDC
✓Experiencia en redes empresariales: VPC/VNet, Direct Connect, ExpressRoute, PrivateLink
✓Dominio de automatización de infraestructura con Terraform y herramientas nativas de nube
✓Capacidad demostrada en programación con Python y PySpark/Spark
✓Conocimiento profundo de arquitecturas de sistemas distribuidos y plataformas lakehouse

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

AWSAzureGCPTerraformAWS CloudFormationAWS CDKAzure Resource ManagerAzure BicepGoogle Cloud Deployment ManageAmazon CloudWatch

Who should you write to at databricks?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

ReqID: FEQ427R340 Location: London Skills: Platform & Security The Role As an Infrastructure & Platform Specialist Solutions Architect (SSA), you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on their cloud of choice (AWS, Azure, or GCP). You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. The Impact You Will Have • Guide strategic 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 (virtual networks, private connectivity), identity (cloud IAM and enterprise identity providers), and security compliance standards • Serve as a subject matter expert in core areas such as cloud infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management • Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions • Orchestrate cross-functional resources (DSAs, SAs, FDE, Partners) to deliver comprehensive solutions for complex customer needs • Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For • 8+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role • Advanced expertise across the following areas: • Security & Identity: Cloud security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols. This includes cloud-native IAM (AWS IAM, Microsoft Entra ID / Azure AD, Google Cloud IAM), enterprise identity services (AWS IAM Identity Center, Entra ID, Google Cloud Identity), and federation standards (SCIM, OAuth, SAML, OIDC) • Networking & Deployments: Enterprise cloud networking (VPC/VNet design and peering, dedicated interconnects such as AWS Direct Connect / Azure ExpressRoute / Google Cloud Interconnect, and private connectivity such as AWS PrivateLink / Azure Private Link / GCP Private Service Connect), network routing, performance optimisation, and large-scale deployment management • Platform Administration: High availability, disaster recovery, cluster orchestration, observability and audit (e.g. Amazon CloudWatch / CloudTrail, Azure Monitor, Google Cloud Operations Suite), and cloud cost management • Infrastructure Automation (InfraOps): Hands-on automation using IaC tools (e.g. Terraform, plus cloud-native tooling such as AWS CloudFormation / CDK, Azure Resource Manager / Bicep, or Google Cloud Deployment Manager) to build, maintain, and scale complex cloud environments • Strong coding proficiency in Python and PySpark/Spark: you must demonstrate live coding, debugging, and solution-building skills • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g. real-time/streaming, ML/AI, data governance, migrations) • Proven ability to lead architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade-off analysis • Track record of driving platform a

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.