Senior IT Architect, Data Architect, Platinion

To succeed, organizations must blend digital and human capabilities Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures and business purpose We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thriv What Youll Do Design and implement a data architecture that supports the organization s 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 organization s 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 organization s 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 to understand their data needs and ensure that the organization s data architecture is aligned with the organization s strategic goals and objectives. What Youll Bring 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 organizations 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