Solutions Architect

Role & responsibilities

We are looking for an experienced Solution Architect to design and deliver scalable, secure, and future-ready Data & Analytics platforms on Azure. The role will be responsible for architecting enterprise-grade data solutions that support reporting, analytics, AI/ML, and GenAI initiatives while ensuring compliance, governance, performance, and cost optimization.

Mandatory Skills

• Azure Data Lake / ADLS Gen2
• Databricks and Unity Catalog
• Data Architecture and Data Modeling
• Data Integration and Enterprise Data Platform Design

• SQL for analysis, validation, modeling, and performance optimization • Data Security, Governance, Metadata Management, and Lineage Preferred Skills

• Python and PySpark
• Azure Synapse and Cloud-Native Architecture
• AI/ML Lifecycle and MLOps

• RAG and GenAI Solution Design

• Terraform / Infrastructure as Code
• Agile, DevOps, Cost Optimization, and Stakeholder Management

Key Responsibilities

• Design scalable, secure, and high-performance data platform solutions.
• Architect data ingestion, transformation, storage, governance, and consumption layers.
• Review functional and non-functional design documents and ensure alignment with enterprise standards.

• Collaborate with business, engineering, security, enterprise architecture, and platform teams.

• Ensure data solutions comply with architecture, cybersecurity, regulatory, and governance requirements.

• Drive Databricks vendor engagements and Unity Catalog adoption across projects.

• Support AI/ML, MLOps, RAG, and GenAI architecture use cases on enterprise data platforms.

• Identify technical risks, resolve challenges, and support timely delivery of project milestones.

• Optimize platform performance and cloud cost through continuous improvement.

Preferred candidate profile

• 10+ years of overall experience preferred, with strong background in data architecture and engineering.

• Proven experience designing and implementing large-scale Azure-based data platforms.

• Strong expertise in Azure Data Lake, Databricks, SQL, data modeling, and integration patterns.
• Experience with metadata management, data governance, secure data access, and architecture governance.

• Ability to translate business requirements into robust, scalable, and cost-effective technical solutions.

• Strong communication skills with experience working with senior business and technology stakeholders.

Good to Have

• Hands-on experience with AI/ML solution architecture and model lifecycle awareness.

• Knowledge of MLOps, model deployment, monitoring, and operational governance.

• Exposure to RAG, GenAI, Terraform, ARM templates, Python, PySpark, Synapse, Agile, and DevOps

Hiring Priority

• Must Have: Azure Data Lake, Databricks, Data Architecture, Data Modeling, SQL, Enterprise Data Platforms, Security and Governance.

• Strongly Preferred: Python, PySpark, Synapse, AI/ML, MLOps, RAG, GenAI, Terraform.

• Notice Period: Immediate to 30 Days Preferred.