Experience: 8+ years in Data Architecture, with at least 3+ years in Azure Data solutions.
Technical Expertise:
Strong knowledge of Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL, Azure Data Lake, and Cosmos DB.
Proficiency in SQL, Python, Spark, and PowerShell. Experience in data modeling, ETL/ELT, and data warehousing.
Understanding of DevOps, CI/CD, and Infrastructure-as-Code (Terraform, ARM templates).
Strong problem-solving and analytical skills.
Excellent communication and stakeholder management.
Exposure to hybrid cloud environments (Azure on-premises)
Key Requirements
Knowledge of data mesh and data fabric architectures.
What s in it for you
Pathways for Career Development
Work with colleagues and clients around the world on interesting and challenging work.
We provide internal career opportunities, so you can take your career further within TMF.
Continuous development is supported through global learning opportunities from the TMF Business Academy.
Making an Impact
You ll be helping us to make the world a simpler place to do business for our clients.
Through our corporate social responsibility program, you ll also be making a difference in the communities where we work.
A Supportive Environment
Strong feedback culture to help build an engaging workplace.
Our inclusive work environment allows you to work from our offices around the world, as well as from home, helping you find the right work-life balance to perform at your best.
Job Classification
Industry: Financial Services Functional Area / Department: Data Science & Analytics, Role Category: Data Science & Machine Learning Role: Data Science & Machine Learning - Other Employement Type: Full time