Data Architect

Posted Yesterday
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2 Locations
In-Office
Senior level
Artificial Intelligence • Information Technology • Professional Services • Consulting
The Role
Designs and implements large-scale cloud data solutions, including data warehouses, data lakes, governance frameworks, and analytics platforms. The role analyzes requirements, develops solution architectures, estimates project delivery needs, and collaborates with stakeholders to ensure successful implementation. It focuses primarily on Azure technologies such as Synapse, Fabric, and Databricks, while leveraging machine learning, AI, and modern data architecture patterns. Strong communication, executive presentation, innovation, and escalation management skills are also required.
Summary Generated by Built In

Our client is looking for an experienced Senior Data Engineer with 7+ years of experience designing and implementing cloud-based data solutions, primarily within the Microsoft Azure ecosystem.

The ideal candidate has strong hands-on experience with Azure Synapse, Microsoft Fabric, and Databricks, along with a solid understanding of Data Vault and Medallion architecture. Exposure to other cloud platforms, particularly AWS and/or GCP, is considered a plus.


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Job Description
  • Analyze customer requirements and define product specifications
  • Develop, document and present solution designs for cloud-based infrastructure and services
  • Contribute to the definition of project timeline, milestones and deliverables, effort and budget estimations for developing and implementing solutions
  • Design and build large-scale high-performing data solutions
  • Design data warehouses and data lakes
  • Establish a data governance framework
  • Build solutions to gain optimal insights from diverse data by leveraging machine learning and AI
  • Leverage cloud services and implement data analytics solutions in the cloud
  • Work closely with the relevant stakeholders to assure successful delivery of the project/product
  • Involved in the Escalation Management Process where the projects’ timelines or quality are at risk
  • Comply and contribute to company processes and policies
  • Drive innovation though research in new technologies and knowledge sharing
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Requirements
  • Very good knowledge of at least one cloud technology with a focus on database and data warehouse technologies, databases, and data-related technologies in the cloud. Experience with Microsoft Azure is considered an advantage
  • Proven experience with different database technologies (relational and non-relational)
  • Good knowledge of at least one modern data warehousing technology
  • Knowledge of data lake technologies and optimized storage formats
  • Ability to present ideas in business-friendly and user-friendly language
  • Ability to communicate at an executive level and articulate business value of technical solutions
  • Cloud Architect and/ or Data Architect certification
  • Fluent in English, German is an advantage


Skills Required

  • 7+ years of experience designing and implementing cloud-based data solutions
  • Strong experience with cloud database, data warehouse, and data-related technologies
  • Experience with Microsoft Azure or another major cloud platform
  • Experience with relational and non-relational database technologies
  • Knowledge of at least one modern data warehousing technology
  • Knowledge of data lake technologies and optimized storage formats
  • Cloud Architect and/or Data Architect certification
  • Ability to present technical ideas in business-friendly and user-friendly language
  • Ability to communicate at an executive level and articulate the business value of technical solutions
  • Fluent English
  • Experience with AWS and/or Google Cloud Platform
  • Fluent German
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The Company
12 Employees
Year Founded: 2025

What We Do

HORAteka is a Sofia-based technology and talent services company that helps organizations scale teams, modernize operations, and navigate technology challenges. Its offerings include end-to-end IT services and consulting, staff augmentation, recruitment, training, business consulting, managed services, and workforce solutions. The company also supports digital transformation, AI-driven process optimization, software development, mobile applications, and cybersecurity, emphasizing efficiency, transparency, creativity, and human intelligence.

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