Senior Data Solutions Architect

Halcyon Knights
Singapore, Singapore
06 Aug 2022
05 Sep 2022
Job Function
Industry Sector
Finance - General
Employment Type
Full Time
Our client is a top tier consulting company looking for a senior data analytics solution architect. The client has built a newly established digital consulting arm within its firm. Our client's scope include advanced analytics capabilities, such as data engineering, data modeling, machine learning and advanced data visualization tools.

Key Responsibilities

  • Provide solutions oversight to delivery architects and teams
  • Distinguish opportunities to engage prospective and existing clients on Data & Analytics solutions
  • Translate business requirements to technical solutions.
  • Perform analysis on current processes, business practice and procedures and identify future opportunities for leveraging data & analytics solutions on various platforms.
  • Develop solution proposals that detail project scope, approach, deliverables and project timeline.
  • Utilize new technologies and identify opportunities to include them in our client's portfolio of data analytics capabilities.
  • Perform key management and though leaderships in various areas.
  • Develop practice guides, playbooks and other artefacts that will allow practitioners to perform their work in a structured manner.
  • Maintain and develop relationships with principle vendors to ensure price guarantees and other enablement benefits.
  • Design, develop and construct data analytics platforms on the cloud and in customer data centres.
  • Develop and implement relevant data models in NoSQL and Big Data platforms.
  • Work with our client's project manager and technical leads to provide updated status reporting and support them to refine issues

The ideal candidate should be / possess:
  • Undergraduate or graduate degree in Computer science or equivalent
  • At least 8 - 12 years of relevant experience
  • Prior experience developing large scale enterprise data pipelines utilizing data analytics such as Microsoft, Google, Teradata, AWS, Informatica, DataStax and Cassandra.
  • Strong knowledge of data manipulation languages such as Hive SQL, Spark, Scala, Impala, Apache Nifi and Kafka necessary to develop and maintain complex queries
  • Strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault
  • Fundamentals around security integration including Kerberos authentication, SAML and data security and privacy.
  • Excellent communications skills
  • Good critical thinking and problem-solving abilities

If you are keen to find out more about this role, please email me your resume at

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