Sr. Delivery Solutions Architect (Greater China Region)

Databricks Inc.; Singapore; Hybrid; SGD 180,000 - 240,000; Full time

Job summary

Databricks Inc. is seeking a Sr. Delivery Solutions Architect for the Greater China Region to accelerate platform adoption across strategic customers.

Based in Singapore, you will bridge sales, field engineering and customer success, acting as the post-sale technical lead across Databricks products. You will own end-to-end plans for high-value use cases, oversee onboarding, enablement and ongoing success, and communicate with executives to secure alignment and measurable outcomes.

Qualifications

• 8+ years delivering technical projects in Data and AI.
• Experience in customer-facing pre-sales or consulting roles.
• Understanding of distributed data systems and value attribution.
• Ability to manage stakeholders and drive technical strategy.

Responsibilities

• Engage with Solutions Architects to plan use cases and demand.
• Lead post-technical win strategy for top accounts.
• Be the technical lead across multiple teams to drive onboarding and production use cases.
• Own the execution plan for production readiness and go-live.
• Coordinate with PS resources and product/engineering for innovations.

Skills

Python

SQL

Scala

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent

Job description

Sr. Delivery Solutions Architect (Greater China Region)

Singapore

CSQ427R262

At Databricks, we are on a mission to empower our customers to solve the world\'s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect (Sr. DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Manager.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers


• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts


• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks


• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations


• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise


• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals


• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs


• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:




• Main use cases moving from 'win' to production


• Enablement / user growth plan


• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)


• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)


• Executive and operational governance




• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers


• Programming experience in Python, SQL or Scala


• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role


• Understanding of solution architecture related distributed data systems


• Understanding of how to attribute business value and outcomes to specific project deliverables


• Technical program, or project management including account, stakeholder and resource management accountability


• Experience resolving complex and important escalation with senior customer executives


• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects


• Track record of overachievement against quota, Goals or similar objective targets


• Proficiency in Mandarin and experience in the Greater China Region are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the Greater China Region customers in Mandarin for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions.


• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience


• Can travel up to 30% when needed

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.