Senior Data Architect

O projekcie: 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 organization's systems are designed in accordance with the appropriate data architecture Wymagania: 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 Codzienne zadania: - 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 - Platform & Integration - 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 engineering's. - Communicate effectively with technical and non-technical stakeholders - Be an advocate for the team externally, and can manage differing perspectives