About the Role :

We are looking for an experienced Principal Solution Architect Data to design scalable, reliable, and high-performing data solutions that drive business impact and enable data-driven decision-making.

The ideal candidate will have strong expertise in Data Architecture, Data Engineering, Azure Databricks, Azure Data Factory, Pipeline Management, and Data Vault, with the ability to design and optimize modern data platforms and cloud-based data solutions.

Key Responsibilities :

- Design and architect scalable, reliable, and high-performing data solutions.

- Define end-to-end data architecture aligned with business requirements.

- Design and optimize data pipelines and data processing workflows.

- Develop and implement data solutions using Azure Databricks and Azure Data Factory.

- Provide architectural guidance on data engineering and data platform initiatives.

- Design and implement Data Vault architecture and data models.

- Optimize data pipelines and solutions for performance, scalability, and reliability.

- Collaborate with data engineers, developers, business stakeholders, and other technical teams.

- Evaluate existing data architectures and recommend improvements.

- Ensure data solutions support business requirements and enable effective data-driven decision-making.

- Contribute to the development of modern cloud-based data platforms.

Mandatory Skills :

- Solution Architecture

- Data Architecture

- Data Engineering

- Azure Databricks

- Azure Data Factory

- Pipeline Management

- Data Vault

- Data Solution Design

- Data Optimization

Preferred Experience :

- 12 to 18 years of relevant experience in Data Architecture / Data Engineering / Solution Architecture.

- Strong experience designing enterprise-scale data solutions.

- Experience working with Azure-based data platforms.

- Experience in designing and optimizing data pipelines.

- Strong understanding of modern data architecture principles.

- Experience collaborating with cross-functional technical teams.

What We Offer :

- Opportunity to work on cutting-edge data platforms and cloud technologies

- Collaboration with experienced data and technology professionals

- Opportunity to design and deliver impactful data solutions

- Inclusive workplace that values innovation, growth, and diversity