Data Architect

2 weeks ago

Mumbai, India Primus Partners Pvt. Ltd. Full time

Job Responsibilities : IT Expert (Data Architect/ System Architect, Business analyst)- Designing data systems and databases; this includes structuring, simplifying, streamlining systems, and consolidating data effectively. - Coordinating vendor, data scientists and analysts to gather business requirements and ensure that the data architecture is optimized for business processes. - Development of the business and technical requirements for the development of data platforms for all projects and sub projects. - Responsible for quality assurance testing of all data platforms and coordinating the issue reporting to vendor and response. Responsible for also the user acceptance testing for all projects. - Assess system performance and make recommendations for software, hardware, and data storage improvements. - Protecting and secure the department's data by establishing data security protocols and disaster recovery systems. - Formulating data strategies and policies, and assisting in the implementation of data standards, data governance, and data management protocols across the departments. - Creating data models that outline the type, nature, and relationship of data sources needed to support business information needs and data integration. - Working closely with IT teams, data analysts, and management to ensure architecture is aligned with organizational goals.- Regularly reviewing and updating existing data architecture to meet the evolving needs of the company.Key Skills Required : - Experience managing large scale IT projects that are data related is a must. - Extensive knowledge in database structure systems, data mining and segmentation techniques, and different programming languages, such as SQL, Oracle, and Python. - Experience working on production systems and familiarity with agile development practices and issue tracking tools (eg. JIRA, TFS), version control (e.g. Git) and collaborative development (e.g. GitHub) is essential. - Proficiency in data modeling techniques and data warehousing principles. - Strong understanding of metadata, data organization, data quality assessment, and data profiling. - Excellent analytical, troubleshooting, decision-making, and problem-solving skills. - Data visualization and reporting skills can also be beneficial. Understanding of laws and regulations related to data security, privacy, and compliance is often required.Education Qualifications : - B.E/ B.Tech or master's degree in computer science/Information Technology/ Software Engineering/ Data ScienceExperience (in yrs) : - Proven experience of 7+ years as a data architect, data scientist, data analyst, or similar role in Central or State government (ref:hirist.tech)

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