Data Architect & Strategy

Design and implement a data architecture that supports the organizations business goals and

objectives

• Develop data models, define data standards and guidelines, and establish processes for data

integration, migration, and management

• Create and maintain data dictionaries, which are a comprehensive set of data definitions and

metadata that provide context and understanding of the organizations data assets

• Ensure that the data is accurate, consistent, and reliable across the organization. This includes

establishing data quality metrics and monitoring data quality on an ongoing basis

• Work closely with other IT professionals, including database administrators, data analysts, and

developers, to ensure that the organizations data architecture is integrated and aligned with

other IT systems and applications

• Stay up to date with new technologies and trends in data management and architecture and

evaluate their potential impact on the organization’s data architecture

• Communicate with stakeholders across the organization.

You Bring (Experience & Qualifications)

• A BTech / MTech degree in Computer Science or a related field

• At least 7+ years of experience in working on data architecture
• Expertise in data modeling and design, including conceptual, logical, and physical data models,

and must be able to translate business requirements into data models

• Proficient in a variety of data management technologies, including relational databases,

NoSQL databases, data warehouses, and data lakes

• Expertise in ETL processes, including data extraction, transformation, and loading, and must

be able to design and implement data integration processes

• Experience with data analysis and reporting tools and techniques and must be able to design

and implement data analysis and reporting processes

• Familiar with industry-standard data architecture frameworks, such as TOGAF or Zachman,

and must be able to apply them to the organization's data architecture

• Familiar with cloud computing technologies, including public and private clouds, and must be

able to design and implement data architectures that leverage cloud computing

• Certificates in Database Management will be preferred

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