Sr. Solutions Engineer (Hong Kong)

DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading analytics company in Singapore seeks a Solutions Architect to build client relationships and provide technical solutions in Big Data Analytics. You will work collaboratively with teams to address diverse client needs, demonstrate product capabilities, and contribute to community engagement. Proficiency in Cantonese is required for effective communication with clients in Hong Kong. This role is essential in fostering client satisfaction and driving business value through innovative analytics solutions.

Qualifications

• Familiarity working with clients and aligning agendas with interests.
• Ability to identify customers' pain-points and develop a trusted advisor skillset.
• Knowledgeable in Big Data Analytics and public cloud platform integration.

Responsibilities

• Build successful relationships with clients in Hong Kong.
• Deliver technical evaluations and integrate with third-party applications.
• Contribute to the Databricks technical community through events.

Skills

Customer relationship management

Technical proposition delivery

Programming in Python

Programming in Java

Programming in Scala

Big Data Analytics

Public cloud platform understanding

Cantonese proficiency

Job description

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Form successful relationships with clients in Hong Kong to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Apache Spark™ programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, Java, or Scala.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and design.
• Proficiency in Cantonese and experience in Hong Kong are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the Hong Kong customers in Cantonese for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions.