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An organization’s data architecture is created by a data expert known as a data architect.
Understanding an organization’s data needs, deciding how data will be connected both within and across companies, developing a strategy for data modeling and mapping, designing and implementing a solution, and assessing the solution are all part of the duties of a data architect.
Job Brief:
To plan, create, and manage the execution of our new data architecture, we are seeking a Data Architect. The success of our data-driven company depends on this function, and the ideal applicant will be well-versed in the concepts and procedures of data architecture. They will be in charge of developing and maintaining our roadmap for data architecture as well as collaborating with teams from throughout the company to guarantee that data is used effectively and efficiently.
Data Architect Duties:
- Create, organize, quantify, and evaluate data architecture.
- Work with fundamental statistical and optimization methods to create and enhance data models and algorithms.
- Create and keep up with software documentation.
- Look for and oversee fresh data sources and architectural specifications.
- Assist stakeholders in determining their needs.
- Make and keep up with database design documentation.
- Create data integration plans and programming APIs.
- Assist product management, development, and architecture in defining the specifications for new systems.
- Create and put into action database strategies that accommodate changing needs.
- Take part in the collection and analysis of requirements, as well as the design, planning, implementation, testing, and assessment of data architecture solutions.
- Give advice and best practices for upcoming and new data architectures.
- Create and put into place data management procedures and policies to enhance data quality and reduce risk.
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Data Architect Responsibilities:
- Create and design data analysis solutions to address challenging data issues.
- Create, create, deploy, record, and maintain business-wide business intelligence solutions.
- Conduct data analytics and act as a point of contact for IT and business users.
- Create analytical, reporting, data warehousing, data integration, and ETL applications.
- Identify solutions for data issues.
- Combine information from several forms and sources.
- Create and implement thorough use cases and data models.
- To specify system needs, collaborate with IT resources.
- Determine, evaluate, and record the requirements.
- Create and implement strategies for data migration.
- Apply best practices for data governance and quality.
- Report the status of the data warehouse to management on a regular basis.
Requirements And Skills:
- A bachelor’s degree or above in engineering, mathematics, or computer science.
- Five or more years of expertise in database program administration, analysis, design, and/or programming.
- Familiarity with at least one SQL and NoSQL database.
- Real-time processing expertise and familiarity with online technology,
At Company / Institution, we think that inclusiveness and diversity are essential components of a productive team.
