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13.0 - 17.0 years
0 Lacs
chennai, tamil nadu
On-site
As a Senior Architect - Data Modelling at Tiger Analytics, you will be instrumental in solving complex data management challenges to help organizations become more data-driven. Your role will involve transitioning between being an Individual Contributor, team member, and Architect as required by each project, with a focus on defining, designing, and delivering actionable insights. Your day-to-day responsibilities will include: - Leading the translation of business requirements into conceptual, logical, and physical Data models. - Designing data architectures to encompass the entire data lifecycle, including data organization, acquisition, storage, security, and visualization. - Advising clients on the best modelling approach based on their needs and target architecture. - Analyzing datasets, guiding the team in creating Source to Target Mapping and Data dictionaries, and generating insightful data profiles. - Defining Data Modelling Best Practices and ensuring their implementation across projects. - Optimizing Data Models, defining Ingestion logic, ingestion frequency, and data consumption patterns in collaboration with Data Engineers. - Ensuring adherence to data quality standards, data procedures, and driving automation in modelling activities. - Collaborating with various stakeholders to design and develop next-generation data platforms. - Providing technical expertise and support to troubleshoot and resolve data-related issues, mentoring team members, and collaborating on pre-sales Proof-of-Concepts. - Enabling data catalog and business glossary as per the process defined by the data governance team. Job Requirements: - Minimum 13 years of experience in the data space with hands-on experience in designing data architecture. - Proficiency in RDBMS systems (e.g., Oracle, DB2, SQL Server) and Data Modelling concepts like Relational, Dimensional, Data Vault Modelling. - Experience in developing data models for multiple business domains, OLTP, OLAP systems, Cloud DW, and cloud platforms (e.g., AWS, Azure, GCP). - Hands-on experience in Data Modelling Tools, ETL tools, data ingestion frameworks, NoSQL databases, and Big Data ecosystems. - Familiarity with Data Quality, Data Governance, Industry Data Models, agile methodology, and good communication skills. - Exposure to Python and contribution to proposals and RFPs will be an added advantage. At Tiger Analytics, we value diversity, inclusivity, and individual growth. We encourage you to apply even if you do not meet all the requirements today, as we believe in finding unique roles for every individual. We are an equal-opportunity employer committed to fostering a culture of listening, trust, respect, and personal development. Please note that the job designation and compensation will be based on your expertise and experience, with our compensation packages being highly competitive within the industry.,
Posted 1 week ago
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