Specialist Solutions Architect (Security)
Guide customers in building big data solutions on Databricks while providing technical leadership and expertise in cloud security.
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Joblaze summary
In the role of Specialist Solutions Architect at Databricks, the individual will engage directly with customers to design and implement big data solutions, ensuring successful project execution from architecture to deployment. Key skills include expertise in cloud infrastructure, security best practices, and hands-on experience with big data technologies like Spark. This position is ideal for professionals with a background in data platform engineering and experience in pre-sales or post-sales environments. The role also emphasizes community engagement through tutorials and presentations, reflecting Databricks' commitment to knowledge sharing.
Joblaze insights
- Listed today on Joblaze — tracked directly from Databricks's career page.
- Databricks has 816 other open roles including AI Engineer - FDE (Forward Deployed Engineer), Sr. Solutions Architect, Sr. Manager, Field Engineering.
- 2404 active Python roles on Joblaze right now.
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Quick facts
- Is the Specialist Solutions Architect (Security) role remote?
- No — this is an on-site role in Singapore, Singapore.
- How much experience is required?
- At least 5 years of relevant experience for this Specialist Solutions Architect (Security) role.
- Where is the role based?
- Databricks is hiring for this position in Singapore, Singapore.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Terraform, AWS, Spark, Databricks, SQL, Python.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Specialist Solutions Architect (Security) role at Databricks.
From the original posting
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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 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.
The impact you will have:
- Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation
- Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation
- Provide technical expertise in cloud infrastructure and security relating to our Databricks Intelligence Platform
- Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures
- Improve community adoption (through tutorials, training, hackathons, conference presentations)
- Contribute to the Databricks Community and act as a technical SME.
What we look for:
- 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
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.