T&T Senior Consultant - Artificial Intelligence & Data - TH
Deloitte ดูงานทั้งหมด
- กรุงเทพฯ
- งานประจำ
- ฟูลไทม์
- Design, implement, and optimize end-to-end data platforms on Azure and Databricks, covering storage, compute, security, and governance.
- Design and manage curated data layers and analytical datasets to support reporting, self-service BI, and advanced analytics use cases.
- Build, maintain, and monitor scalable batch and streaming ETL/ELT pipelines using Databricks, Spark, and Azure services such as ADF and Synapse.
- Develop reusable, version-controlled Databricks notebooks and workflows, implementing robust data transformation, cleansing, and validation logic.
- Establish and enforce data quality, lineage, security, and governance practices across the Databricks platform, ensuring compliance with regulatory requirements.
- Collaborate with cross-functional teams (architects, data engineers, BI developers, data scientists, and business stakeholders) to align solutions with business objectives and drive continuous improvement
- Establish data quality, lineage, and governance practices across the Databricks platform.
- Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
- Undegrading of DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
- Excellent stakeholder and pre-sales skills: translating requirements into architectures and leading solution design.
- Minimum 10-12 years of experience
- Possess 8+ years in solution, architecting, design and development experience in enterprise/ architecture projects in Azure / Databricks
- Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology
- Designing and integrating applications and SaaS solutions using technology stacks and cloud service providers, such as Microsoft (e.g. Azure, power BI,Tableau),
- BI service support components (e.g. Data warehouse, extract-transform-load processes, databases)
- Azure Data Factory, Azure Databricks, Hadoop Exposure
- Strong verbal and written communication, presentation and collaboration skills. Good relationship building skills are necessary, including the ability to build a rapport and communicate effectively with all levels of the customer.
- Good command over verbal and written English
- Strong Azure cloud and data services design (ADLS, networking, security, Synapse, Key Vault)
- Deep Databricks lakehouse expertise (Delta Lake, Unity Catalog, Spark performance tuning)
- Advanced data engineering with Spark and Azure-native orchestration (ADF/Synapse pipelines).
- E2E integration experience (Hybrid cloud model)
- Robust data governance, security, and compliance design, especially for regulated industries.
- Proven experience migrating legacy platforms to Azure Databricks with proper CI/CD and cost control.
- Cloud [Software] Systems Engineer, Customer Solutions Engineer [Cloud / Data, Analytics/AI] or combination of experience as DevOps Engineer, Data Architect, Cloud/SaaS Software Developer