Infrastructure & Platform Senior Specialist Solutions Engineer

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

Collaborate with cross-functional resources (DSAs, SAs, FDE, Partners) 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. 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

Solid grounding in distributed data systems architecture: 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)

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 (e.g. AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud Architect)

Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery), understanding the landscape you'll position against

Background in a data/AI company or cloud provider

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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