Infrastructure & Platform Specialist Solutions Architect (SSA)
Serve as a trusted technical ML and AI expert, guiding customers in architecting production-grade applications on the Databricks platform.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 16 hours ago
Skills & Technologies
AI in the day-to-day
Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures and AI observability.
Requirements
- Experience
- 10+ years
- Education
- Master's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Senior Specialist Solutions Architect at Databricks, the individual will focus on designing and implementing production-grade machine learning and AI applications, ensuring they align with customer needs. Key skills include expertise in data science, machine learning, and familiarity with cloud platforms like AWS, Azure, or GCP. This position is ideal for seasoned professionals with over a decade of experience in ML engineering or data science, particularly those with a strong customer-facing background. The role also emphasizes thought leadership and collaboration, contributing to the growth of the AI community.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 916 other open roles including Senior Payroll Analyst, Field Engineering Manager, Specialist Solutions Architects, Senior Support Engineer (GovOps) .
- 1672 active AI roles on Joblaze right now.
- 799 active Machine Learning roles on Joblaze right now.
- 261 active Apache Spark roles on Joblaze right now.
- Typical AI salary we track runs $120,000–$199,775 (median $159,900, across 686 roles). See AI salary trends
Quick facts
- How much experience is required?
- At least 10 years of relevant experience for this Infrastructure & Platform Specialist Solutions Architect (SSA) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, Apache Spark, Data Science, GenAI, LLM, MLOps.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Infrastructure & Platform Specialist Solutions Architect (SSA) role at Databricks.
From the original posting
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 adoption and consumption growth within accounts
- Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritisation
- 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.