Responsibilities As a Data Architect, you will design scalable, secure, and future-proof data architectures that support analytics, reporting, and advanced data use cases across the organization. - Define end-to-end data and analytics architectures. - Select technologies and define architectural standards. - Design data ...
... SAS, and Excel. - Modern Data Architecture: Skilled in designing and implementing cloud-based solutions (AWS, Azure), real-time data streaming (e.g., Kafka, Dataflow), and modern data platforms (e.g., Snowflake, Databricks). - Integrating data from different sources namely SAP; - Experience with SQL and NoSQL databases, ...
... R, SAS, and Excel. Modern Data Architecture: Skilled in designing and implementing cloud-based solutions (AWS, Azure), real-time data streaming (e.g., Kafka, Dataflow), and modern data platforms (e.g., Snowflake, Databricks). Integrating data from different sources namely SAP; Experience with SQL and NoSQL databases, and ...
... Facilitates requirements for data architecture - Identifies needs and possibilities for improving data architecture - Interviews stakeholders and develops data architecture roadmap for success given project prioritization and budget - Documents detailed requirements - Conceptualizes, documents and presents creative data architecture ...
... experience in Data Engineering, Data Modelling or Data Architecture, including at least 2 years in a Data or Solution Architect role. - Strong knowledge of enterprise data architecture and conceptual, logical and physical data modelling. - Experience designing reusable, domain-driven data products and defining data contracts. - ...
... marketing, data science, CRM and loyalty, and customer data management. We are looking for someone able to: - Assist in the design and implementation of data architecture. As data architect you will work closely with business stakeholders, business analysts and data engineers to implement the different levels of data models. ...
... guidance to architects, engineers, and senior stakeholders. Skills & Capabilities Must-Haves - 10+ years of experience in data and AI, including 5+ years in architecture roles. - Proven experience designing enterprise AI or machine learning platforms. - Strong knowledge of cloud-native architecture, APIs, containers, and ...
... architectures to accelerate AI adoption. - Integrate models, agents, and data pipelines with APIs, microservices, core business applications, and enterprise data sources . Governance, Quality & Security - Establish principles for technical security, data isolation, compliance, observability, and model governance . - Ensure ...
... environments, acting as the custodian of architectural standards and best practices. In collaboration with data, IT, and business stakeholders, establish robust data and technology foundations that guarantee scalability, reliability, security, and trust in AI solutions. Advise on solution design and target architecture for ...