Data Architect

At DIGITALL we dont just deliver technology we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries.

The Enterprise Architect is responsible for designing and guiding the implementation of scalable, secure, and strategic IT solutions across multiple systems and environments. The role provides architectural leadership across global teams, ensuring that technology decisions align with the organization's business strategy, enterprise standards, and long-term platform vision.

The position requires close collaboration with development teams, enterprise architecture teams, security, and data management offices to ensure that solutions are robust, reusable, and compliant with enterprise standards. The Enterprise Architect also evaluates emerging technologies, drives adoption of best practices, and ensures that architecture decisions support both current operational needs and future business expansion.

This is your job:

• Lead architecture and design activities across multiple projects and provide technical guidance to global development teams
• Define architectural standards, design principles, and best practices for enterprise cloud and data platforms
• Design scalable cloud and hybrid solutions using Microsoft Azure and modern data technologies
• Guide the implementation of Data Lakehouse architectures, including Databricks, data modeling, and ETL/ELT processes
• Define integration patterns across APIs, messaging, batch processing, and data virtualization
• Ensure architectural alignment with security, data governance, performance, and cost optimization requirements
• Support DevOps, CI/CD, deployment strategies, and operational best practices
• Evaluate emerging technologies, including Microsoft Fabric, and recommend improvements to existing platforms
• Collaborate with Enterprise Architecture, Information Security, Data Management, and business stakeholders
• Develop architectural documentation, communicate technical decisions, and mentor engineering teams
• Identify and manage architectural risks while ensuring alignment with business and technology strategies

Your qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field
• Proven experience designing enterprise-scale cloud and data platform architectures
• Strong knowledge of Microsoft Azure services, including networking, identity, security, and analytics
• Practical experience with Azure Databricks, Unity Catalog, and Data Lakehouse architectures (Delta Lake, Iceberg, UniForm)
• Experience with analytical data modeling, including bronze, silver, and gold layers and dimensional modeling
• Strong understanding of ETL/ELT processes and technologies such as Azure Data Factory, Databricks, and dbt
• Experience with DevOps and CI/CD using Azure DevOps or GitHub Actions
• Knowledge of data integration patterns, APIs, messaging, and data virtualization technologies
• Proficiency in SQL and Python, with experience in relational databases such as PostgreSQL
• Understanding of data governance, security, metadata management, data quality, and lineage
• Familiarity with Microsoft Fabric, OneLake, Power BI, and modern analytics solutions
• Knowledge of platform monitoring, performance optimization, and cloud cost management
• Strong communication, problem-solving, documentation, and stakeholder management skills

Organizational information:

All applications will be treated in strict confidentiality.

Please note that only shortlisted candidates will be invited to an interview.

Originally posted on Himalayas