Vacancy caducado!
The Data Architect works with Infrastructure and Application Development teams to coordinate the movement, enhancement, integration, quality and availability of data throughout the virtual enterprise. Your central responsibility as a Data Architect will be improving the consistency, timeliness, quality, security and delivery of data as part of Data Governance framework. In addition, the Data Architect must streamline data flows and remove unnecessary costs from the complex, fragmented, heterogeneous data architecture.Duties may include assessing architect models and supervising data migrations. Platform selection and on-boarding of data management solutions that meet the technical and operational needs of the company. To succeed in this role, you should know how to examine new data system requirements and implement migration models. The ideal candidate will also have proven experience in architecture analysis and management, with excellent analytical and problem-solving abilities.
Responsibilities:- Mapping data sources, including descriptions of the business meaning of the data, its uses, its quality, the applications that maintain it and the database technology in which it is stored. Documentation of a data source must describe the semantics of the data so that the occasional subtle differences in meaning are understood.
- Documenting interfaces and data movement by recording how mapped data is moved around the virtual enterprise. This includes the frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations.
- Designing the movement of data through the enterprise, including sources of data and how the data is moved around in order to be improved.
- Defining integrative views of data to draw together data from across the enterprise. Some views will use a database of extracted data and others will bring together data in near real time, considering data currency, availability, response times and data volumes.Designing canonical data views to limit technical debt as data flows from point-to-point transformation.
- Defining technical standards and guidelines. Assess and document when and how to use the architected producers and consumers, the technologies to be used for various purposes, and models of selected entities, objects and processes. The guidelines should encourage reuse of existing data stores, as well as address issues of security, timeliness and quality.
- Investigate and participate in emerging technologies and new release Proofs of Concept (PoCs).
- Leveraging existing [core] data assets.
- Managing related metadata to include business descriptions of the data, details of any calculations or summaries, descriptions of the sources of the data, and indications of data quality and currency.
- Communicating the data architecture across the enterprise.
- Ensuring a focus on data quality by working effectively with data stewards so they can understand data semantics and identify opportunities for improving data quality.
- Bachelor's degree in Computer Science, Computer Engineering or relevant field.
- A minimum of 3 years' experience in a similar role.
- Must have AWS or Azure experience. (Snowflake, S3 desirable)
- Familiarity of system concepts and tools within an enterprise architecture framework.
- Knowledge of various modern data formats, tools, and methodologies. (Infomatics desirable)
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- Good written and verbal communication skills.
- Artificial Intelligence/Machine Learning/Data Science
- Robotics/Robotic Process Automation (RPA)
- Cyber/Data/Information Security
- DevOps/DevSecOps
Vacancy caducado!