Infrastructure & Platform Senior Specialist Solutions Engineer

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.