Job Description: Data Modeler Architect
Position: Data Modeler Architect
Experience: 8+ years
Location: Gurugram
Department: IT/Data Architecture
Reports to: Data Architecture Lead / Data Manager
Position Overview:
We are looking for a skilled and motivated Data Modeler Architect with 8 years of experience to join our
IT team. The Data Modeler will be responsible for designing, developing, and maintaining data models
that support business requirements and data-driven decision-making. You will work closely with business
analysts, data architects, and other stakeholders to ensure the organization’s data is structured
effectively and efficiently. This position offers the opportunity to influence how the company handles
data at a large scale and play a pivotal role in the company’s data strategy.
Key Responsibilities:
- Data Modeling & Design:
o Design and develop conceptual, logical, and physical data models in line with the
company’s data strategy and business objectives.
o Collaborate with business stakeholders and IT teamsto gather requirements and ensure
models meet business needs.
o Create and maintain metadata and data dictionaries to ensure consistency across various
data sets.
o Review and optimize data models to improve system performance,scalability, and
quality. - 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 within
the models. - Collaboration & Support:
o Work with other teams(e.g., data engineers, data analysts) to ensure alignment and
proper 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 business
requirements into data specifications. - Performance Monitoring & Reporting:
o Monitor data model performance and proactively suggest optimizations to improve
efficiency.
o Assist in the creation of dashboards and reports for business users by providing insights
into data structures and relationships.
Skills & Qualifications:
- Education:
o Bachelor’s degree in Computer Science, Information Technology, Data Science, or a
related field. Master’s degree preferred. - Experience:
o 5 years of experience in data modeling, database design, or a related role in an IT
company.
o Hands-on experience with data modeling tools(e.g., Erwin, IBM Infosphere Data
Architect, Microsoft SQL Server Management Studio, or similar tools).
o Extensive experience in Snowflake
o 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-technical
teams.
o Ability to work in a fast-paced environment, prioritize tasks, and manage multiple
projects 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 clients
transform 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 and
growth 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.