Informacje o stanowisku

A data architect designs and builds data models to fulfil the strategic data needs of the Agentic Foundation organization.

Individuals in this role will:

• Design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy
• Define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture
• Work with other architects and engineers to make sure that an organizations systems are designed in accordance with the appropriate data architecture

Required

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field
• Strong experience in data architecture, data modeling, and distributed systems.
• Advanced knowledge of cloud data platforms (Azure Data Lake, Snowflake, Databricks).
• Familiarity with AI frameworks and agentic architectures
• Advanced knowledge of cloud platforms
• In-depth knowledge of data governance principles and best practices
• Understanding of data security principles and practices
• Knowledge of data privacy regulations (e.g., GDPR, CCPA)

Preferred

• Relevant certifications (e.g., GCP Certified, AWS Certified, Azure Certified)
• Strong analytical and communication skills
• Ability to work collaboratively in a team environment
• High level of accuracy and attention to detail
• Demonstrated experience leading a team of data professionals
• Ability to align data architecture with business objectives
• Strong decision-making skills

A data architect designs and builds data models to fulfil the strategic data needs of the Agentic Foundation organization.

Individuals in this role will:

• Design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy
• Define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture
• Work with other architects and engineers to make sure that an organizations systems are designed in accordance with the appropriate data architecture

,[Define the overall data architecture for Agentic Foundation, including data products, pipelines, and governance., Establish standards for data modeling, metadata, lineage, and interoperability., Explain the strategic context of the work being performed and why it is important, Support strategic planning in an administrative capacity, Design reusable, discoverable, and governed data products for AI agents., Ensure data products are self-describing, secure, and API-accessible., Design data architecture by dealing with specific business problems and aligning it to enterprise-wide standards, principles, and the enterprise data catalog, Work within the context of well understood architecture, and identify appropriate patterns, Architect data platforms leveraging cloud technologies (Azure, AWS, GCP)., Integrate with AI orchestration frameworks (e.g. Azure AI Foundry, LangChain)., Implement data governance policies for security, privacy, and compliance., Define versioning and observability for data assets., Take responsibility for the assurance of data solutions and make recommendations to ensure compliance, Work closely with AI engineers, product owners, and domain experts., Provide technical leadership and mentorship to data engineerings., Communicate effectively with technical and non-technical stakeholders, Be an advocate for the team externally, and can manage differing perspectives Requirements: AWS, Azure Additionally: Sport subscription, Private healthcare, Modern office.

Praca Warszawa

Warszawa - Oferty pracy w okolicznych lokalizacjach