Senior Consultant – Artificial Intelligence, Data
Deloitte
full-time
Posted on:
Location Type: Office
Location: Singapore • Singapore
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Job Level
About the role
- 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
Requirements
- 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.
Benefits
- Positive work experiences that foster a culture of respect and inclusion
- Diverse perspectives celebrated
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data platform designETLELTdata transformationdata cleansingdata validationdata governancedata qualityAzure DatabricksSpark
Soft Skills
communicationpresentationcollaborationrelationship buildingstakeholder managementsolution designcontinuous improvementrapport buildingverbal communicationwritten communication