Sr. Resident Solutions Architect

DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading analytics company in Singapore is seeking a Sr. Resident Solutions Architect to work closely with clients on big data transformations. In this customer-facing role, you will leverage expertise in Apache Spark and data engineering to guide the implementation of complex data solutions. Ideal candidates will have strong coding skills in Python or Scala and experience with big data technologies. This position offers an exciting opportunity to mentor others and assure best practices across projects.

Qualifications

• Experience in designing and implementing big data technologies.
• Deep technical knowledge in coding with Python or Scala.
• Familiarity with data architecture patterns.

Responsibilities

• Guide customers through big data projects' implementation.
• Ensure adherence to Databricks best practices.
• Facilitate technical workshops and customer requirements gathering.
• Architect and document complex customer engagements.
• Mentor team members and provide best practices.

Skills

Expertise in Apache Spark

Data engineering knowledge

Python coding

Scala coding

Big Data technologies design and implementation

Cloud deployment models

Job description

As a Sr. Resident Solutions Architect (Sr. RSA), you will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark™ and the Databricks Data Intelligence Platform. You will be in a customer-facing role that requires deep hands‑on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks. You will report to the Head of Professional Services.

The impact you will have:

• You will guide customers as they implement transformational big data projects, including end‑to‑end development and deployment of industry‑leading big data and AI applications
• You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed
• You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers
• Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work
• Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority
• Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts
• Provide experience to the consulting team, provide best practices in client engagement to other teams

What we look for:

• Experience in Design and Implementation of Big Data technologies (Apache Spark™) and familiarity with data architecture patterns (data warehouse, data lake, streaming, Lambda/Kappa architecture)
• Deep technical knowledge and comfortable coding in Python or Scala
• Familiarity with GCP/Azure/AWS/EC2 cloud deployment models (Public vs. VPC) is a plus
• Experience working with teams across a diverse geographic area