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NTT DATA Logo NTT DATA · IT - Software Development

Senior Specialist, Solution Architect

Malaysia, Selangor Darul Ehsan, Selangor · Job Posted May 04, 2026
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Job Description

The Senior Specialist, Solution Architect at NTT DATA is responsible for transforming data into structured formats for analysis, leading the design of data models, and developing ETL packages. Candidates should have extensive experience in data engineering, particularly with Microsoft Azure Data Factory, SQL Analysis Server, and SAP Data Services. A bachelor's degree in a related field is required, along with relevant certifications. The role offers a hybrid working environment and emphasizes diversity and inclusion.

Job Responsibility

  • Leads on designing data models in a structured data format to enable analysis thereof
  • Design and develop scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
  • Participates in the transformation of object and data models into appropriate database schemas within design constraints
  • Interprets installation standards to meet project needs and produce database components as required
  • Advises on test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
  • Accountable for running data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems
  • Works across multiple IT and business teams to define and implement data table structures and data models based on requirements
  • Accountable for analysis, and development of ETL and migration documentation
  • Works with cross functionally stakeholders to evaluate potential data requirements
  • Owns the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
  • Partners with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models
  • May coach and mentor less experienced team members

Requirements

  • Broad knowledge of the definition and management of scoping requirements, definition and prioritization activities
  • Broad understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
  • Deep expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
  • Broad understanding of data architecture landscape between physical and logical data models
  • Analytical mindset with excellent business acumen skills
  • Problem-solving aptitude with the ability to communicate effectively, both written and verbal
  • Ability to think strategically and build effective relationships at all levels within the organization
  • Expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)
  • Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
  • Extended demonstrated experience in data engineering, data mining within a fast-paced environment
  • Extended experience in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale
  • Extended demonstrated experience with architecture and design of secure, highly available and scalable systems
  • Extended demonstrated experience in automation, scripting and proven examples of successful implementation
  • Extended demonstrated experience using scripting language (Perl, bash, Shell Scripting, Python, etc.)
  • Extended demonstrated experience with big data tools like Hadoop, Cassandra, Storm etc
  • Extended demonstrated experience in any applicable language, preferably .NET
  • Extended demonstrated experience in SAP, SQL, MySQL databases and Microsoft SQL
  • Extended demonstrated experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots

Nice to have

  • Relevant certifications preferred such as SAP, Microsoft Azure etc
  • Certified Data Engineer, Certified Professional certification preferred

What we offer

  • Diversity and inclusion
  • Hybrid working
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