Data Platform Architect - Avanade
- Kuala Lumpur, Kuala Lumpur, Malaysia
- Apply by: Jan 01, 2026
- 10 Vacancy
- Local Candidates (Malaysia)
- Salary: 10000 MYR - 180000 MYR
- Shift: First Shift (Morning)
- Career Level: Experienced Professional
- Degree: Diploma
- Experience: Year
- Full Time/Permanent
- Work from Office
Job Description
- Define the technical platform strategy for enterprise data initiatives;
- Responsible for the development of architecture blueprints, roadmaps, and reference architectures;
- Architect Azure based big data engineering pipelines
- Perform detailed analysis of business problems and technical environments and use this in designing the solution;
- Benchmark systems, analyze system bottlenecks and propose solutions to eliminate them;
- Clearly articulate pros and cons of various technologies and platforms;
- Work with program and project managers in the design, planning and governance of implementing projects of any kind;
- Provide high-level architectural expertise to sales, project and other analytics teams.
- Support development of architectural products and deliverables for the enterprise and operational business lines.
- Support development of strategy roadmap for the enterprise; including data modeling, implementation and data management for our enterprise data warehouse and advanced data analytics systems.
- Build relationships with architects across the company and collaborate on promoting architectural best practices across the company.
Key Role Skill & Capability Requirements:
- Experience architecting solutions for enterprise data lakes across data ingestion, stream processing, storage and analytics workloads using Azure services
- Experience with Big Data modernization such as Hadoop to Azure and migration strategies for data platform modernization
- Extensive exposure to architecting solutions with Azure data factory/ Talend, Azure SQL database/ synapse/ Snowflake, Data DevOps, Power BI, Powershell scripting, Python, Strong in SQL and PL/SQL, Azure databricks/ Spark, Hadoop
- Extensive experience of providing architectural direction to project development teams
- Proven experience in overall data management, data warehousing, data modelling, metadata management and data security
- Client consulting and project-leadership experience
- Able to explain complex technologies, architectural principles and concepts in non-technical language
- Exceptional written and verbal communication and presentation skills
- Experience partnering on analytics-related sales pursuits and effort estimation
- Able to operate independently with little or no supervision
- Good to have: Demonstrable professional experience in designing solutions for advance analytics, machine learning, with large scale, complex data sets
Benefits
Health, Dental, Vision
Skills Required
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