Databricks에서 Specialist Solutions Architect를 채용합니다. 고객의 빅데이터 솔루션 구축을 지원하며, 클라우드 인프라 및 보안 설계에 대한 전문 지식이 필수입니다. Spark 환경에서의 실무 경험과 클라우드 보안(IAM, 네트워크) 역량을 갖춘 분을 찾습니다. 아세안 및 중화권 지역을 담당하며 기술 리더십을 발휘할 전문가를 기다립니다.
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 cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality.
Pre-sales or post-sales experience working with external clients across a variety of industry markets
Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark)
Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including:
Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity).
Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability
Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc)
Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc).
Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections.
Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions
Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration
Production programming experience in one or more of the following languages - Python, Scala, SQL, or R
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
The role located in Singapore covers the Asean and Greater China Regions, which requires travel up to 30% when needed.
Nice to have: Databricks Certification
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.
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.
