Delivery Architect - Azure Data (Databricks & ADF) at Capgemini
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

09 Jul, 25

Salary

0.0

Posted On

09 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud Security, Code, Machine Learning, Data Engineering, Apache Spark, Scala, Management Skills, Infrastructure, Data Solutions, Sql, Python

Industry

Information Technology/IT

Description

Come and join a thriving company and become part of a diverse global collective of free-thinkers, entrepreneurs and industry experts who are all driven to use technology to reimagine what’s possible. Capgemini. Get the future you want.
For more about why Capgemini https://www.capgemini.com/au-en/careers/why-join-capgemini/

QUALIFICATIONS & EXPERIENCE: .

  • Extensive experience in architecting and delivering Azure/Databricks solutions.
  • Expertise in Azure services (Data Lake, Synapse, Data Factory, etc.).
  • Strong understanding of Databricks, Delta Lake, and Apache Spark.
  • Proficiency in Python, Scala, or SQL for data engineering.
  • Experience with cloud security, governance, and compliance frameworks.
  • Excellent communication and stakeholder management skills.

PREFERRED QUALIFICATIONS:

  • Azure certifications (e.g., Azure Solutions Architect Expert).
  • Experience with DevOps, CI/CD, and Infrastructure as Code.
  • Knowledge of machine learning and AI-driven data solutions.
Responsibilities

LET’S TALK ABOUT THE ROLES AND RESPONSIBILITIES

We are hiring a Delivery Architect – Azure Data /Databricks to lead the design, development, and deployment of cloud-based data solutions. This role requires expertise in Azure and Databricks, strong leadership in solution delivery, and the ability to work closely with stakeholders to drive successful project outcomes.

KEY RESPONSIBILITIES:

  • Lead the end-to-end delivery of Azure and Databricks-based solutions.
  • Define architecture, best practices, and governance frameworks.
  • Collaborate with stakeholders to align solutions with business goals.
  • Ensure high performance, scalability, and security of data platforms.
  • Oversee implementation of data pipelines, ETL processes, and analytics.
  • Provide technical leadership and mentorship to development teams.
  • Optimize cost and resource efficiency for cloud-based data solutions.
Loading...