Data Architect Job DescriptionGeneral Characteristics: We are looking for a curious and proactive person willing to develop a business case for modernizing and expanding the enterprise's data warehouse to improve efficiency and provide employees with consistent and reliable access to key data, supporting business initiatives to ensure the enterprise follows best practices for data standards and data management.Responsibilities:Deliver architectures for modernization of enterprise data solutions using Azure cloud data technologies.Develop and implement a comprehensive cloud data strategy aligned with business/company goals.Analyze emerging technologies and influence technology decisions and direction of project solutions.Design scalable data pipelines to support continuing increases in data volume and complexity, increasing data accessibility and fostering data-driven decision making across the organization.Ensure security and governance for the data.Work with data and analytics experts to strive for greater functionality in our data systems.Design the systems required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.Collaborate with team members to fully understand business requirements and create clear functional specifications outlining the client requirements.Job Requirements:Education: Azure Data Certifications are necessary. Bachelor's Degree in Engineering, Computer Science, Information Systems, Business Administration, or other related fields.Experience:Data Analytic Architectures, with demonstrable experience/certification in Azure environment.Strong experience in designing, architecting and implementing data models of operational or informational environments, with different approaches in terms of data strategies.Integration with native cloud solutions (ETLs, API Gateways).Relational SQL and NoSQL databases.Applied knowledge of data architectural patterns Batch processing, Streaming and Lambda architecture design.Industry data standards, data tooling capabilities, lake database templates, and data governance.Applied knowledge of preparing data for Data Science and Machine Learning purposes.Knowledge of Business Intelligence and Data Visualization tools (PowerBI, Tableau).Turning business use cases and requirements into technical solutions.Business processing mapping of data and analytics solutions.Managing teams and vendors.Languages: Fluent, written and spoken Spanish. Fluent, written and spoken English.Competencies: Strong verbal and written communications skills are necessary, as well as the ability to work effectively across the organization. Strong problem resolution, negotiation and influencing skills. Demonstrated ability to engage both IT staff and business partners to achieve target outcomes. Ability to quickly learn the objectives, structures, operations and policies of new business areas.
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