Databricks Machine Learning Lead

Kuala Lumpur, M14, MY, Malaysia

Job Description

Come join us

The 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 .

Skills and experiences

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

Characteristics that can spell success for this role


Consultative, collaborative, curious


Resilient, adaptable, flexible


Humble leader, strong negotiator, relationship builder


Passionate about tech and engaging with and advising clients



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.

Enjoy your career

Some of the best things about working at Avanade

+ Opportunity to work for Microsoft's Global Alliance Partner of the Year, with exceptional development and training (minimum 80 hours per year for training and paid certifications) + Real-time access to technical and skilled resources globally
+ Dedicated career advisor to encourage your growth
Engaged and helpful coworkers genuinely interested in you
+
Find out more about some of our benefits

Employee Benefits at Avanade | Avanade

A great place to work

As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise . You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look!

We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion & Diversity page.

Create a future for our people that focuses on
o Expanding your thinking o Experimenting courageously o Learning and pivoting

Inspire greatness in our people by
o Empowering every voice o Encouraging boldness o Celebrating progress

Accelerate the impact of our people by
o Amazing the client o Prioritizing what matters o Acting as one

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Job Detail

  • Job Id
    JD1267856
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Kuala Lumpur, M14, MY, Malaysia
  • Education
    Not mentioned