Senior Solution Architect - Databricks

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RiDiK, a subsidiary of CLPS (Nasdaq: CLPS), in Singapore, seeks a senior data architect/engineer for a 12-month contract to lead data platform initiatives. You will design and implement data models, governance, and pipelines using Databricks, Unity Catalog, Delta Lake, and Spark across multi-cloud environments.

The ideal candidate has 8–10 years in data architecture/engineering, with 3–5 years on Databricks, and a Databricks Certified Associate Developer for Apache Spark.

Qualifications

• 8–10 years in data architecture/engineering/analytics roles
• 3–5 years hands-on with Databricks platform
• Databricks Certified Associate Developer for Apache Spark mandatory
• Proven track record implementing Unity Catalog in enterprise environments
• Experience designing complex data models for large-scale systems
• Background with Databricks Professional Services or similar partnerships preferred
• Experience across multiple industry sectors is advantageous

Skills

Databricks Platform

Unity Catalog

Data Modelling

Delta Lake

Apache Spark

Programming

Cloud Platforms

Tools

Databricks Platform

Unity Catalog

Delta Lake

Apache Spark

Python

SQL

Scala

Azure/AWS/GCP

Job description

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) View all jobs

Location: Tanjong Pagar
Type of Employment: Contract 12 Months (renewable)
Company Industry: Investment Management

Essential Technical Skills:

• Databricks Platform: Proven hands-on experience with Databricks platform including workspace administration, cluster management, and workflow orchestration
• Unity Catalog: Demonstrated experience implementing Unity Catalog for unified governance, including metastore configuration, catalog/schema design, and access control policies
• Data Modelling: Strong expertise in designing and implementing data models, including dimensional modeling, data vault, and lakehouse architectures
• Delta Lake: Deep understanding of Delta Lake features including ACID transactions, time travel, and optimization techniques
• Apache Spark: Proficiency in Spark SQL, DataFrames, and performance tuning
• Programming: Strong skills in Python, SQL, and/or Scala for data processing
• Cloud Platforms: Experience with Azure, AWS, or GCP cloud services

Additional Technical Skills:

• Data pipeline development and ETL/ELT processes
• Data governance frameworks and metadata management
• Performance optimization and troubleshooting
• CI/CD practices for data platforms
• Data quality and validation frameworks
• Understanding of data security and compliance requirements

Professional Experience:

• Minimum 8-10 years in data architecture, engineering, or analytics roles
• At least 3-5 years of hands-on experience with Databricks platform
• Databricks Certified Associate Developer for Apache Spark (mandatory)
• Proven track record implementing Unity Catalog in enterprise environments
• Experience designing and implementing complex data models for large-scale systemsBackground working with Databricks Professional Services or similar partnerships preferred
• Experience across multiple industry sectors (Public Service, Financial Services, Healthcare, etc.) is advantageous

Certifications (Preferred) - mandatory to have at least one certification

• Data Engineer Professional
• Cloud platform certifications (Azure Data Engineer, AWS Data Analytics, or GCP Data Engineer)
• Relevant data management or analytics certifications

Soft Skills

• Excellent communication and presentation abilities
• Strong analytical and problem-solving capabilities
• Ability to work collaboratively with Partners and cross-functional teams
• Client-focused mindset with relationship-building skills
• Self-motivated with ability to manage multiple priorities
• Experience working in agile environments