Azure Solution Architect
17 hours ago
Job Description
We are hiring a highly skilled
Senior Azure Solution Architect
to lead the design and delivery of large-scale, data-driven enterprise solutions on Microsoft Azure. This role involves deep technical expertise, enterprise architecture knowledge, and leadership to align cloud solutions with business needs.
We are Seeking candidates with 12+ years of IT experience, including 6+ years in Azure data platforms, with expertise in Azure AI/ML services, leadership skills, and availability to join within 30 days
Requirements
- 12+ years of overall IT experience with strong expertise in Business Intelligence, Data Architecture, and Solution Design.
- 6 - 8 years of experience in Azure-based data platforms (Data Factory, SQL Database, Synapse, Databricks, Power BI).
- 3- 5 years of experience in leading technical teams / mentoring architects & engineers.
- Proven ability to deliver large-scale, high-performance cloud solutions in enterprise environments.
- Strong expertise in data modeling, ETL, and data warehouse design.
- Hands-on experience with AI/ML services in Azure.
- Excellent stakeholder management and communication skills.
Key Responsibilities
- Architect and design end-to-end cloud solutions using Azure (Data Lake, Synapse Analytics, Databricks, Machine Learning, Power BI).
- Define data strategies, transformation roadmaps, and governance frameworks aligned with enterprise goals.
- Act as Azure SME, mentoring architects/engineers and ensuring adoption of cloud best practices.
- Provide guidance on performance tuning, cost optimization, and scalability in Azure
environments.
- Collaborate with stakeholders, product managers, and data scientists to deliver business-
aligned technical solutions.
- Define and implement data governance, security, and compliance policies (GDPR, HIPAA, etc.).
- Evaluate emerging technologies and integrate them into enterprise architecture.
Good To Have
- Microsoft Certified : Azure Solutions Architect Expert
- Microsoft Certified : Data Engineer Associate
- Certifications in Machine Learning, AI, or Enterprise Architecture
- Experience with DevOps, CI/CD pipelines, ARM templates, Bicep
- Knowledge of data visualization tools (Power BI, Tableau)
)
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