Role Summary:

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.

Movate | Solution Architect - Data Foundation / Data & Analytics Platform:

Required Experience:

- 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.

Education:

- Bachelors degree in Computer Science or a related field.

Compensation & Benefits:

- Competitive salary as per Movate guidelines.

- Benefits and incentives as per company policy.

Equal Opportunity Statement:

Movate is an equal opportunity employer committed to diversity and inclusion.

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