Share this Job

ClayOPS Pte. Ltd.: Data Solution Architect

Date: 11-Jun-2022

Location: Singapore

Company: Singtel Group

ClayOPS Pte. Ltd. team brings together expert from analytics consulting and technology enablement and offers full spectrum of services from point technology solutions to end to end services integration. ClayOPS aggregates, optimizes, analyses clients data and builds dashboard to represent their business data in easy to understand format and display business KPIs graphically. This allows our clients to make better decision faster and to identify actionable insights within the data to improve your business. 


From improved business forecasts to reduced uncertainty in decision-making to improved competitive positioning, ClayOPS solutions and services helps clients get analytics right. ClayOPS has worked with big brands like Microsoft, SAP, RedHat. We are looking for ‘analytics passionate’ people to join our growing team in helping our clients make the best use of the data they have.


  • Work with BD team to identify opportunities to engage prospective and existing clients on Data & Analytics solutions
  • Translate business requirements to technical solutions leveraging strong business acumen.
  • Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms
  • Develop solution proposals that provide details of project scope, approach, deliverables and project timeline
  • Co-develop pricing for the solution proposals
  • Research and experiment new technologies and identify opportunities to include them into ClayOPS portfolio of Data Analytics capabilities
  • Develop new solutions and accelerators that help to deploy our Data Analytics services at scale
  • Provide architectural expertise to sales, project and other analytics teams.
  • Help develop playbooks, standardized framework, practice guides and other artefacts that will allow our practitioners perform their work in a structured, standard manner
  • Identify risks, assumptions, and develop pricing estimates for the Data & Analytics solutions
  • Provide solution oversight to delivery architects and teams
  • Plan, design and setup Data Analytics platforms in customer data centres or on the cloud
  • Design and implement relevant data models
  • Architect data pipelines to bring information from source systems, harmonise and cleanse data to support analytics initiatives for core business metrics and performance trends
  • Work closely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions
  • Work in teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies
  • Mentoring to upskill peers and juniors

The ideal candidate should possess:

  • Min 5 years of IT experience 
  • At least 1 year of Business Intelligence Solution Deployment
  • Prior experience building large scale enterprise data pipelines using commercial Data Analytics platforms from vendors such as Microsoft, Amazon Web Services
  • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi necessary to build and maintain complex queries, streaming and real-time data pipelines
  • Good appreciation and operational experience of infrastructure management and administrative tools and skillsets eg: Linux shells, Apache Ambari, YARN, to build scalable and resilient data platforms
  • Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP
  • Experience with other aspects of data management such as data governance, metadata management, archival, data lifecycle management
  • Large scale data loading experience moving enterprise or operational data from source systems to new applications or data analytics solutions
  • Experience in leveraging on cloud-based data analytics platform such as:
    • AWS serverless architecture in Lambda on AWS DynamoDB, EMR
    • Azure Data Lake, HDInsight
    • GCP BigQuery/BigTable, Cloud Dataprep/Dataflow/Dataproc 
  • Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them
  • Good critical thinking and problem-solving abilities