Avanade Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Overview
Our talented Data & AI Practice is made up of globally recognized experts - and there’s room for more analytical and ambitious data professionals. If you’re passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let’s talk. Take your skills to a new level and launch a career where you can truly do what matters.
Databricks M / L Technical Lead is a senior, hands-on role responsible for the design, development, and delivery of highly scalable, secure, and performant data solutions on the Databricks Lakehouse Platform . It is expected to provide technical leadership to a team of engineers, defining coding standards, implementing architectural patterns, and ensuring the delivery of high-quality data products.
What you’ll do
- Lead the Design : Define and implement robust data architectures utilizing the Databricks ecosystem, including Delta Lake, Unity Catalog, Machine Learning Models and Databricks Workflows.
- Hands-on Development : Serve as the most senior developer, writing high-quality, production-grade code in PySpark / Scala and SQL for complex batch and streaming ETL / ELT pipelines.
- Performance Optimization : Lead performance tuning and optimization efforts for large-scale Spark jobs, ensuring efficient cluster utilization and cost management.
- Standards & Best Practices : Define and enforce technical standards, code quality, testing frameworks (unit, integration), and DataOps / CI / CD pipelines for the engineering team.
Skills & Experience
Required Skills & Experience
8+ years of experience in machine learning, data science, or MLOps, with at least 4+ years focused specifically on the Databricks Lakehouse Platform.Expert proficiency in Python and PySpark / Scala for large-scale data processing and machine learning.Deep understanding and practical experience with Delta Lake architecture and optimization techniques.Proven expertise implementing MLOps principles using MLflow (Tracking, Registry, Projects, and Deployment).Preferred Skills & Certifications
Experience with Databricks features like Databricks Workflows, and Unity Catalog.Experience with streaming technologies (e.g., Kafka, Spark Streaming).Familiarity with CI / CD tools and Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles).Databricks Certified Machine Learning Professional certified.About You
Consultative, collaborative, curiousResilient, adaptable, flexibleHumble leader, strong negotiator, relationship builderPassionate about tech and engaging with and advising clientsWhat You’ll Do / Learn more
To learn more about the types of projects our Data & AI team works on check out these case studies :
thyssenkrupp Materials Services uses data to help strike a delicate operational balanceWhat matters to SSE Renewables is innovating for a sustainable futureHachette UK enables employees with machine learning-driven contract searchesMarston Holdings identifies significant cloud savingsInterested in knowing what’s going on inside Avanade? Check out our blogs :
Avanade Insights – exchange ideas that drive tomorrow’s innovationInside Avanade – explore what life is like working at AvanadeBenefits & Culture
Some of the best things about working at Avanade include access to Microsoft’s Global Alliance Partner ecosystem, ongoing training and certifications, global technical resources, and a supportive, collaborative environment. Avanade is committed to an inclusive, diverse culture with a deep sense of belonging for all employees.
Additional information about Belonging and Inclusion can be found on our Inclusion & Diversity page.
Note : This description reflects the responsibilities and requirements of the role as posted and may be subject to change.
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