Data Architect - Data Privacy (Azure)

Data Architect - Data Privacy (Azure)

Sofia/hybrid / 70.000-90.000 EUR/year + bonuses

The partner company is an American tech giant, an IT service and IP product company, which operates in 12 countries all across North America, Europe and Asia-Pacific.

The company specializes into emerging technologies: Digital Transformation (cloud oriented), Data Management and Analytics, Robotic Process Automation (RPA), Internet of Things (IoT), Cyber Security (everything from SOC to pentesting), Artificial Intelligence and Machine Learning to take their clients and partners a step further to the future.

• Duties:

The candidate will work closely with the project manager to deliver the following deliverables:

· Act as Product Owner for Data Platform Products and Services.

· Contribute to development of technology strategy, patterns, reference architectures etc. for data platforms across the data lifecycle mentioned above.

· Evaluate technologies and platforms to identify best-fit for business needs.

· Ensure integration of platforms across other enterprise solutions to support single-sign-on and seamless data flows.

· Work with the Enterprise Architecture group and the Office of Information Security (OIS) to comply with relevant standards.

· Work with application team leads to refine and tighten the security framework and access control for internal and external information sharing, including secured/confidential information sharing.

· Work with application team leads to develop governance processes for managing services (version control), support services, service migration, monitoring and evaluation of services.

· Document definitions for all new data constructs and record the enhancements in a standard document.

Required skills:

· Master's degree in Computer Science, Information Systems or Bachelor’s degree with a minimum of 7 years relevant experience.

· Strong understanding of technology management principles with good understanding of cloud-based platforms and best practices in data and analytics.

· Experience in designing, building and supporting platforms across data lifecycle (Collect, Store, Transform, Analyze, Visualize and Govern)

· Experience in evaluating multiple technologies, ability to develop decision frameworks.