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

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.

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.

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