Data Modeling Architect

About the role: We are looking for an experienced Data Modeler, who will be responsible for designing and implementing data models that support the organization's master data, analytics & other data management needs. You will work closely with stakeholders to ensure data models align with business requirements and optimize performance & scalability. Your role will involve maintaining data integrity and security, establishing data modeling standards, and staying updated with industry trends around data modeling. What you will do: Design, Develop and Implement Data Models: Create conceptual, logical, and physical data models tailored to organizational requirements. Stakeholder Collaboration: Partner with business analysts, data architects, database administrators, and other IT professionals to comprehend data needs and ensure alignment with business objectives. Data Integrity and Security: Establish and maintain data integrity, stability, and security across various databases. Database Performance Optimization: Enhance and fine-tune data models for optimal performance, ensuring efficient data storage, retrieval, and analysis. Data Modeling Standards: Define and enforce organizational standards and best practices for data modeling. Data Model Maintenance: Oversee the maintenance of data models, data lineage, and metadata management. Data Issue Resolution: Identify, track, and resolve any data-related issues. Data Model Documentation and Communication: Document and convey data models and their specifications to stakeholders effectively. Use of Data Modeling Tools: Employ data modeling tools and software for the creation and management of data models. What you will need: Strong Data professional with at least 3 years of experience in hands on data modeling role & over 7 years of overall experience in a data driven profession. Must have: Bachelor's degree in computer science, Information Technology, or a related field. 3+ Years of demonstrated experience as Data Modeler. Must have maintained large enterprise grade data model. Proficiency in data modeling techniques and methodologies. Strong understanding around data normalization, denormalization, dimensional modeling, warehousing concepts & schema design. Hands-on experience with data modeling tools such as ERwin. Strong knowledge of SQL and database management systems like PostgreSQL, MySQL, Oracle or SQL Server. Experienced in data profiling, data sampling, and data conversion exercises. Experience in Agile or Scrum environments. Strong communication and collaboration skills with both technical and non-technical stakeholders. Nice to have: Experience in working with MPP databases like Synapse, Snowflake etc. Good understanding of business process around master data management in a B2B setup. Background in data governance and data quality concepts. Experience with databricks & Power BI.

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