Data Modeler Team Lead/Architect

Job Description

Data Modeler ArchitectPosition: Data Modeler ArchitectExperience: 8 yearsLocation: GurugramDepartment: IT/Data ArchitectureReports to: Data Architecture Lead / Data ManagerPosition Overview:We are looking for a skilled and motivated Data Modeler Architect with 8 years of experience to join ourIT team. The Data Modeler will be responsible for designing, developing, and maintaining data modelsthat support business requirements and data-driven decision-making. You will work closely with businessanalysts, data architects, and other stakeholders to ensure the organizations data is structuredeffectively and efficiently. This position offers the opportunity to influence how the company handlesdata at a large scale and play a pivotal role in the companys data strategy.Key Responsibilities:
• Data Modeling & Design:o Design and develop conceptual, logical, and physical data models in line with thecompanys data strategy and business objectives.o Collaborate with business stakeholders and IT teamsto gather requirements and ensuremodels meet business needs.o Create and maintain metadata and data dictionaries to ensure consistency across variousdata sets.o Review and optimize data models to improve system performance,scalability, andquality.
• Data Integration & Management:o Assist in integrating and transforming data from multiple sources into usable formats.o Work on data governance and standardization initiatives to ensure data consistency,integrity, and security.o Collaborate with ETL developers to ensure proper data flow and transformation withinthe models.
• Collaboration & Support:o Work with other teams(e.g., data engineers, data analysts) to ensure alignment andproper implementation of data models across the organization.o Provide guidance and support for datamigration, quality assurance, and reporting efforts.o Act as a liaison between business users and technical teams, translating businessrequirements into data specifications.
• Performance Monitoring & Reporting:o Monitor data model performance and proactively suggest optimizations to improveefficiency.o Assist in the creation of dashboards and reports for business users by providing insightsinto data structures and relationships.
Skills & Qualifications:
• Education:o Bachelors degree in Computer Science, Information Technology, Data Science, or arelated field. Masters degree preferred.
• Experience:o 5 years of experience in data modeling, database design, or a related role in an ITcompany.o Hands-on experience with data modeling tools(e.g., Erwin, IBM Infosphere DataArchitect, Microsoft SQL Server Management Studio, or similar tools).o Extensive experience in Snowflakeo Strong experience with database managementsystems such as SQL Server, Oracle,MySQL, or PostgreSQL.
• Technical Skills:o Expertise in designing relational, dimensional, and NoSQL data models.o Proficiency in SQL and understanding of database query optimization techniques.o Familiarity with ETL processes and data warehousing concepts.o Experience with data governance practices and tools.
• Soft Skills:o Strong analytical and problem-solving skills.o Good communication and collaboration skillsto work with technical and non-technicalteams.o Ability to work in a fast-paced environment, prioritize tasks, and manage multipleprojects simultaneously.o Detail-oriented with a focus on data quality and consistency.
Must Skills:
• Experience of cloud-based data platforms such as AWS, Google Cloud, or Azure. (Must)
• Experience with big data tools(e.g., Hadoop, Spark) and platforms.
• Experience in Snowflake
• Experience with data visualization tools(e.g., Power BI, Tableau) is a plus.Why Join Us:
• Work with industry-leading data solutions and innovative technologies to help clientstransform their businesses.
• Competitive salary and performance-based incentives.
• Collaborative work environment with opportunitiesto engage in exciting, data-centric projects.
• Exposure to clients across various industries, giving you a broad range of experience andgrowth opportunities.
• Travel opportunities to meet with clients and explore new markets.
• Ongoing training and development to ensure you stay ahead of industry trends in the data space.

Keyskills :
big dataawsdata visualizationgcpazure