Specialist Solutions Architect
Application analysis
Specialist Solutions Architect at Databricks is a forward deployed data & ai platform role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Solutions / Sales Engineering role centers on technical discovery, demos, POCs, and helping buyers build internal consensus. Key signals from the listing: AWS, Azure, GCP, Python.
About Databricks
Databricks sells a unified data platform to enterprises. Forward deployed engineers help customers migrate workloads and prove value on live data. The role is anchored in Seoul, South Korea, so expect on-site customer work in that region.
Signals in the listing
Stand out for Specialist Solutions Architect
- Lead your application with one paragraph tying Specialist Solutions Architect to a specific customer or deployment you owned — Databricks hires for shipped outcomes, not tool lists.
- Bring a tight demo narrative: customer pain, live workflow, and measurable before/after — treat the interview like a compressed POC.
- Show how you qualify opportunities and say no to bad-fit pilots; Databricks values technical judgment in customer-facing roles.
- State clearance status clearly up front (active, expired, or eligible) and mention any prior NIPR/SIPR, IL5, or government cloud accreditation work — recruiters filter on this early.
- The posting mentions multiple languages — pick the one most relevant to this team and show production code, not tutorial exercises.
- This role is tied to Seoul, South Korea — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Databricks
- Demonstrate Spark/SQL fluency with a concrete example — Databricks will probe for specifics, not buzzwords.
- Demonstrate enterprise stakeholder management with a concrete example — Databricks will probe for specifics, not buzzwords.
- Strong candidates show they can whiteboard a lakehouse migration and then actually implement the first milestone.
- Read recent engineering blog posts, product launches, and customer stories on databricks.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
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As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be performance tuning, machine learning, industry expertise, or more.
The impact you will have:
Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment Architect production level workloads, including end-to-end pipeline load performance testing and optimisation Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures Improve community adoption (through tutorials, training, hackathons, conference presentations) Contribute to the Databricks Community
What we look for:
You will have experience in a customer-facing technical role with expertise in at least one of the following:
Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions. Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning. Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time value. Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP. Maintain and extend production data systems to evolve with complex needs. Production programming experience in Python, R, Scala or Java
Deep Specialty Expertise in at least one of the following areas:
Experience scaling big data workloads that are performant and cost-effective. Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces. Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking. Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow. Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) Native level Korean is required and Business level English is a plus
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.