Senior Data Architect
New
E
e-point SAEnergy
Workplace type: remote; Country code: PLFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Polish (C1); English (B2).
- Experience
- Minimum 8 years of experience in data and IT, including at least 4 years as a Data Architect, Lead Data Architect, or in a similar role.
- Required Skills
- Data modeling
Requirements
- Have at least 8 years of experience in data and IT, including at least 4 years as a Data Architect, Lead Data Architect, or in a similar role.
- Have experience designing data architecture for large, complex organizations.
- Know Data Warehouse, Data Lake, Lakehouse, Data Hub, Data Fabric, and Data Mesh architecture patterns.
- Have practical knowledge of data modeling, data integration, ETL/ELT, APIs, event processing, and streaming.
- Know Data Governance, Data Quality, Metadata Management, Master Data Management, and data lifecycle management.
- Have experience with at least one major cloud platform: Microsoft Azure, Google Cloud Platform, or AWS.
- Know modern data platforms and tools such as Databricks, Snowflake, BigQuery, Microsoft Fabric, or Azure Data Platform.
- Be able to design data architectures for analytics, AI, and machine learning solutions.
- Know data security, access management, information classification, and GDPR requirements.
- Have experience creating architecture documentation, standards, diagrams, models, and Architecture Decision Records.
- Be able to translate business needs into architecture decisions and technology requirements.
- Have very good Polish and English sufficient for working with documentation and technology partners.
Responsibilities
- Develop and evolve the organization’s target data architecture in line with business, digital, and technology strategies.
- Design data flows across source systems, integration platforms, data repositories, reporting systems, and AI/ML solutions.
- Design data architectures for on-premise, private-cloud, and public-cloud environments.
- Create conceptual and logical data models and oversee the consistency of physical models.
- Establish standards for data modeling, integration, storage, cataloging, sharing, archiving, and deletion.
- Contribute to the Data Governance Model, including data ownership, quality, metadata, reference data, and Master Data Management.
- Design solutions for data security, access control, protection of sensitive information, and regulatory compliance.
- Review project and business initiative architectures for alignment with organizational standards.
- Support analytics, reporting, automation, AI, forecasting, customer service, and operational optimization programs.
- Prepare architecture recommendations and roadmaps, assess vendor solutions, and mentor specialists.
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