About Infinova!
Infinova is an emerging player in intelligent business transformation, dedicated to helping organizations scale smarter and achieve sustainable success. We are building a foundation that combines strategic consultancy, financial expertise, and technology-driven solutions to deliver measurable growth and operational efficiency.
Job Description
We are seeking a highly experienced Azure Data Architect with 10+ years of expertise in designing and delivering enterprise-scale data solutions. The ideal candidate will have strong data modelling capabilities and deep, hands-on knowledge of the Microsoft Azure data ecosystem. This role will be responsible for defining data architecture strategies, guiding data engineering teams, and ensuring scalable, secure, and high-performing cloud-based data platforms aligned with business objectives.
Key Responsibilities
- Define and own the end-to-end data architecture for cloud-based and hybrid data platforms on Azure
- Design scalable, secure, and high-performance data architectures supporting analytics, BI, and advanced use cases
- Create and govern conceptual, logical, and physical data models aligned with business and technical requirements
- Establish standards, best practices, and guidelines for data modelling, data integration, and data storage
- Architect and oversee implementation using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL, and Azure Databricks
- Collaborate with business stakeholders, data engineers, and analytics teams to translate requirements into architecture designs
- Review solution designs, provide architectural guidance, and mentor engineering teams
- Ensure data security, compliance, governance, and performance optimization across the platform
- Drive cloud modernization, migration, and optimization initiatives
- Evaluate and recommend new Azure services and technologies as part of continuous improvement
Required Skills & Qualifications
- 10+ years of experience in data architecture, data engineering, or related roles
- Strong expertise in data modelling (dimensional, relational, normalized, and denormalized models)
- Proven experience designing enterprise data warehouses and data lakes
- Deep, hands-on knowledge of the Microsoft Azure data ecosystem
- Strong understanding of ETL/ELT patterns, data integration, and orchestration
- Advanced knowledge of SQL and experience with large-scale data platforms
- Strong architectural, analytical, and problem-solving skills
- Excellent communication and stakeholder management abilities
Azure Technical Expertise (Must Have)
- Azure Synapse Analytics
- Azure Data Factory
- Azure Data Lake Storage (Gen2)
- Azure SQL Database / SQL Managed Instance
- Azure Databricks
- Azure Monitor, Security, and Governance tools
Preferred / Good to Have
- Experience with multi-cloud or hybrid data architectures
- Knowledge of Power BI and analytics platforms
- Exposure to data governance frameworks, metadata management, and master data management
- Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate)
Education
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field
