Solutions Architect (Lakebase)

Cacheflow; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

Cacheflow in Singapore is seeking a Solutions Architect focused on Lakebase to design and implement strategies for product adoption and client engagement. The role requires extensive experience in transactional databases and the ability to lead workshops that enhance client capabilities.

The ideal candidate will have a strong technical background, with over 10 years in database roles and hands-on experience in cloud environments like AWS, Azure, or GCP. This is a critical position for driving technical credibility and successful outcomes in customer engagements.

Qualifications

• 10+ years of transactional database expertise across various roles.
• 6+ years in a customer-facing, pre-sales or consulting role.
• Hands-on experience with SQL, Python, and cloud environments.

Responsibilities

• Collaborate with GTM leadership to design engagement strategies.
• Serve as a trusted advisor to drive product adoption.
• Handle complex technical challenges in mission-critical environments.

Skills

Transactional database expertise

Experience with OLTP products

Integrating transactional data systems

SQL programming

Python programming

Building solutions in AWS, Azure, or GCP

Data engineering experience

Education

Undergraduate degree in a technical field

Job description

FEQ327R226

Mission

The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines to establish product market fit and drive rapid revenue growth. They are part of a global go-to-market team mandate, covering a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they jointly engage clients, foster relationships, and position the product line in a way that compellingly encourages adoption and growth.

The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets. Together they devise and implement a strategy across assigned accounts, develop presentations, demos, and other assets, and deliver them so clients can make informed decisions about adopting the product line.

Lakebase product-line requires the following core technical competencies

• 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre‑sales, with a proven track record of designing and delivering client‑facing solutions.
• Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.
• Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
• Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale‑out methods, identity and security management, migrations (vendor‑to‑vendor, on‑prem to cloud).

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high‑impact engagement strategies across your territory.
• Serve as a trusted advisor and champion, building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and customer‑facing collateral that increases technical knowledge and thought leadership.
• Influence product roadmap by translating field‑derived, data‑driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier‑3 escalation point for the field, ensuring customer success in mission‑critical environments.

Competencies & Responsibilities

• 6+ years in a customer‑facing, pre‑sales or consulting role influencing technical executives and driving high‑level data strategy and product adoption.
• Proven ability to co‑plan large territories with Account Executives and operate in a highly coordinated, cross‑functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third‑party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem‑solving using SQL and Python.
• Hands‑on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience across data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• Track record of driving complex projects to completion in fast‑paced, customer‑facing environments.

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 seeking 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.