Job Description

Role Overview:

We are seeking a seasoned

Senior Data Architect

to lead enterprise data and analytics initiatives on

Microsoft Azure and Microsoft Fabric

. The role involves architecting, implementing, and governing scalable, secure, and high-performing data solutions that drive business insights and AI innovation.

Key Responsibilities:

Define and implement

Azure-based data architecture strategy

covering data lakes, warehouses, and lakehouses. Lead

Microsoft Fabric

implementation including OneLake, data mesh, governance, and Power BI integration. Design

data pipelines and modernization roadmaps

using Azure Synapse, Data Factory, Databricks, and Purview. Architect

AI/ML and MLOps frameworks

leveraging Azure Machine Learning and Cognitive Services. Oversee

enterprise BI solutions

with Power BI for scalable analytics and governance. Ensure

data security, governance, and quality

compliance with Azure and Purview standards. Lead and mentor teams in data engineering, analytics, and AI practices.

Required Qualifications:

10+ years in data architecture/engineering; 5+ years with Azure. Bachelors/Masters in Computer Science, Data Science, or related field. Certifications:

+

DP-203 (Azure Data Engineer)

+

AI-102 (Azure AI Engineer)

+

DP-600 (Fabric Analytics Engineer)

+

AWS Data Analytics Specialty

Expertise in: Azure Synapse, Data Factory, Databricks, Fabric, Power BI, Purview, and ML services. Strong in

data modeling

,

data governance

, and

multi-cloud architecture

.

Preferred:

Certifications: DP-100, DP-300, PL-300. Experience in

Microsoft Fabric adoption

,

multi-cloud architecture (Azure + AWS)

,

Power BI governance

, and

Azure AI services

. Knowledge of

data mesh

,

DataOps

,

MLOps

, and

Generative AI

use cases.

Soft Skills:

Strong leadership, communication, and stakeholder management. Strategic thinker with hands-on technical depth. * Passion for continuous learning and emerging Azure technologies.