DATA ARCHITECT/SOLUTION ARCHITECT(PUCHONG)MNC

Roles and Responsibilities: • Develop data models for proof-of-concepts to showcase the art of the possible. • Evaluate and recommend technologies, tools, and platforms to support data management, analytics, and reporting needs. • Define and enforce data governance policies, standards, and best practices to ensure data quality, consistency, security, and compliance. • Lead the design and implementation of data pipelines for acquiring, processing, and transforming data from diverse sources in batch and real-time. • Collaborate with cross-functional teams to understand business requirements and provide strategic guidance on data-related initiatives. • Develop and maintain documentation for data architectures, processes, and standards. • Oversee and provide solutions to complex technical problems by challenging traditional technical assumptions. • Participate in architectural reviews, technical discussions, and decision-making processes related to data architecture and solutions. • Engage in client meetings and presentations to articulate the value proposition of our data solutions. • Conduct technical workshops and discovery sessions with clients to gather detailed requirements, address technical queries, and provide expert advice. • Develop and present technical proposals, including architecture diagrams, data flow diagrams, and solution blueprints. • Collaborate with the sales team to develop competitive and compelling proposals and presentations. • Stay current with emerging technologies and industry trends related to data management, analytics, and cloud computing Desired Skills and Expertise: • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. • At least 5 years of relevant experience in data solutions and coding. • In-depth knowledge of database technologies (SQL, NoSQL), data warehousing concepts, and data management principles. • Proven experience as a Data Architect, Solution Architect, or similar role, with a strong background in designing and implementing data solutions. • Deep understanding of data modeling techniques, database design principles, and data management concepts. • Experience with on-premise data warehouse solutions. • Hands-on experience with data integration tools, ETL/ELT processes, and data warehousing, datalake, and lakehouse solutions. • Experience migrating from legacy systems to cloud-based modern data stacks. • Familiarity with Data Fabric and Data Mesh architecture patterns. • Proficiency in building data quality frameworks and using data quality tools. • Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases. • Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical data solutions. • Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Databricks/Spark, DBT, and cloud-specific DWH). • Understanding of data governance tools and services like Alation, Atlan, or Azure Purview. • Experience in project management and Agile methodology. • Presales experience in data solutions. • Relevant certifications in data management or architectures (e.g., AWS Data Analytics, AWS Solutions Architect, Azure Solutions Architect, Azure DE) are a plus. • Good written and verbal communication skills, especially in English