Responsibilities
Responsibilities
Demonstrate the ability to adapt to modern technologies and learn quickly.
Ability to deliver results through teamwork while achieving individual billable attainment goals.
Ability to focus on customers, proven ability to be client focused, create results, proactive, and collaborate with others.
Demonstrate a passion for mentoring, supporting peers & sharing knowledge.
Consume and contribute best practices, lessons learned, and intellectual property (IP) to the global Microsoft community with a focus on continuous improvement.
Foster senior level client relationships and engage with senior level Microsoft and client stakeholders to drive solution success.
Display strong time, project, and priority management skills.
Express excellent communication skills, presentation skills, written skills, customer/partner relationships and expectations management.
Qualifications
Qualifications and Experience
Need to have a deep technical background with 10+ years of technology-related experience, including 4+ years delivering data and AI solutions on Microsoft Azure (Experience on AWS or GCP will be an added advantage). Require in depth expertise in the following functional areas.
Data Platform & Engineering
Designing and implementing modern data platforms on Microsoft Fabric, Azure Databricks, Azure Synapse Analytics and Azure SQL.
Building scalable batch and streaming data pipelines using Azure Data Factory, Event Hubs and Stream Analytics.
Lakehouse and medallion architecture, including Delta and Parquet formats.
Data modelling, query optimization and performance tuning.
Migrating and modernizing legacy data warehouses and on-premises data estates to Azure.
Proficiency in SQL, Python and PySpark.
Knowledge of Azure DevOps, CI/CD and Infrastructure-as-Code (ARM, Bicep or Terraform).
AI & Machine Learning
Designing and delivering generative AI solutions with Azure AI Foundry, Azure OpenAI and agentic patterns, including retrieval augmented generation (RAG), prompt engineering and orchestration frameworks.
Azure Machine Learning for model development, deployment and MLOps.
Azure AI Search, Document Intelligence and Cognitive Services.
Evaluation, grounding and Responsible AI practices.
Copilot and Copilot Studio extensibility.
Governance, Security & Analytics
Data governance, lineage and cataloguing with Microsoft Purview.
Securing data and AI workloads using Microsoft Entra ID, private networking, Azure Key Vault, RBAC and encryption.
Power BI semantic models and enterprise reporting.
Cost management and platform optimization.
We would also expect you to be able to pass the following Certifications in the first 12 months of employment with us, if you do not already hold them:
DP-900: Microsoft Azure Data Fundamentals
AI-900: Microsoft Azure AI Fundamentals
DP-700: Microsoft Fabric Data Engineer Associate
AI-102: Microsoft Azure AI Engineer Associate
DP-600: Microsoft Fabric Analytics Engineer Associate
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
