DC13460655 Snr Data Engineering Manager - Databricks, APAC (1 yr)

About the role

- Lead the end-to-end migration of data platforms, data warehouses, data lakes, data marts, and data pipelines onto Databricks - Define and implement the target lakehouse architecture using Databricks, Delta Lake, Unity Catalog, Databricks SQL, and modern data engineering patterns - Own the migration roadmap, technical design, execution plan, sequencing, and cutover strategy - Re-platform and modernize legacy ETL / ELT pipelines into scalable Databricks-native pipelines - Build reusable frameworks for ingestion, transformation, orchestration, testing, data quality, and monitoring - Establish best practices for data modelling, performance optimization, lineage, metadata management, and platform reliability - Design and deploy AI and Generative AI capabilities on top of the Databricks platform - Build secure and governed data foundations to support AI use cases across business functions - Enable use cases such as enterprise search, natural-language querying, document intelligence, analyst copilots, and AI-assisted reporting - Support Retrieval-Augmented Generation patterns using trusted enterprise data, embeddings, vector search, and governed data access - Work with technology, security, and business stakeholders to define responsible AI controls including access management, data protection, auditability, monitoring, and cost controls - Lead regional data engineering initiatives across APAC, ensuring delivery of platform, analytics, and AI-related projects - Partner with business stakeholders to translate data needs into scalable technical solutions - Work with global technology, architecture, security, analytics, and business teams to align regional delivery with enterprise standards - Drive adoption of CI/CD, Git-based development, automated testing, DataOps, and production support processes Your Profile - At least 8 years of experience in data engineering, data platforms, cloud data architecture, or related technology roles - Strong hands-on experience with Databricks, including lakehouse architecture, Delta Lake, Unity Catalog, Databricks SQL, workflows, and pipeline development - Proven experience leading or supporting large-scale migration onto Databricks or another modern cloud data platform - Strong experience designing and building data pipelines, data lakes, data warehouses, and analytics platforms - Strong programming skills in SQL and Python; experience with PySpark is highly preferred - Good understanding of data modelling, data governance, data quality, lineage, access control, and platform performance - Experience with CI/CD, Git, automated testing, DevOps / DataOps, and production-grade data engineering practices - Exposure to AI / ML / GenAI use cases including Retrieval-Augmented Generation, vector search, model serving, MLflow, or AI platform integration - Experience in cloud environments such as AWS, Azure, or GCP - Experience with BI / analytics tools such as Power BI, Tableau, Databricks dashboards, or similar platforms - Exposure to AI governance, responsible AI, data privacy, and secure AI deployment practices - Strong stakeholder management skills with the ability to work across regional and global teams - Excellent communication skills and ability to explain technical concepts to technical and non-technical stakeholders - Ability to operate as both a strategic platform owner and hands-on technical leader Apply Today Please send your resume, in WORD format only and quote reference number Ref No 67020-0013460646, by clicking the apply button. Please note that only short-listed candidates will be contacted. Robert Half International Pte Ltd. Co. Registration no.: 200612189E | EA Licence no.: 07C5595 | Dmitriy Chervinskyi EA Registration no.: R22108655

Additional Information

The Company Our client is seeking a Senior Data Engineering Manager - Databricks, APAC to lead the design, migration, and modernization of the regional data platform. This role will move existing data platforms, pipelines, and analytics workloads onto Databricks, while building a scalable foundation for AI and Generative AI use cases across APAC.

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Company Intel

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