This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Azure Data Architect in India.

We are seeking an experienced Azure Data Architect to lead enterprise-scale data and analytics initiatives in a dynamic cloud environment. This role is pivotal in designing, implementing, and governing scalable, secure, and high-performing data solutions that drive business insights and AI innovation. The ideal candidate will have deep expertise in Microsoft Azure, Microsoft Fabric, and modern data platforms, enabling seamless integration of data lakes, warehouses, and lakehouses. You will architect solutions that support AI/ML initiatives, ensure data governance, and deliver actionable insights via enterprise BI tools. The role offers a collaborative environment with opportunities to mentor teams and influence strategic data decisions. Remote work flexibility allows contributing from anywhere in India while working closely with cross-functional stakeholders.

Accountabilities:

·         Define and implement Azure-based data architecture strategies, covering data lakes, warehouses, and lakehouses.

·         Lead Microsoft Fabric adoption, including OneLake, data mesh, governance frameworks, and Power BI integration.

·         Design and manage 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 to ensure scalable analytics and effective governance.

·         Ensure data security, compliance, and quality standards across all platforms.

·         Lead, mentor, and guide teams in data engineering, analytics, and AI practices.

·         Collaborate with stakeholders to align data solutions with business strategy and emerging technology trends.

Requirements

·         10+ years of experience in data architecture or engineering, with at least 5 years in Azure environments.

·         Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.

·         Relevant certifications such as DP-203 (Azure Data Engineer), AI-102 (Azure AI Engineer), DP-600 (Fabric Analytics Engineer), or AWS Data Analytics Specialty.

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

·         Strong skills in data modeling, governance, and multi-cloud architecture.

·         Preferred: Additional certifications (DP-100, DP-300, PL-300), experience with Microsoft Fabric adoption, multi-cloud architecture (Azure + AWS), Power BI governance, Azure AI services, data mesh, DataOps, MLOps, and Generative AI use cases.

·         Soft skills: Strategic thinking, leadership, strong communication, stakeholder management, and passion for continuous learning in emerging Azure technologies.

Benefits

·         Competitive salary and performance-based incentives.

·         100% remote work flexibility across India.

·         Opportunity to work with cutting-edge Azure and Fabric technologies.

·         Exposure to AI/ML initiatives and enterprise data strategy.

·         Professional growth through mentoring and leading cross-functional teams.

·         Collaborative and innovative work environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!

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