Senior Data Architect

3 days ago


Anywhere in IndiaMultiple Locations Drimlite Full time

Drimlite is Hiring:

A Senior Data Architect to design and optimize data models that support analytics, reporting, and data-driven decision-making.

The role involves working closely with data architects, analysts, and business stakeholders to create data models that align with enterprise standards and business requirements.

Key Responsibilities:

  • Design, develop, and maintain data models (conceptual, logical, and physical) for various business applications.
  • Collaborate with stakeholders to understand data requirements and translate them into optimized data structures.
  • Work closely with database administrators and developers to implement data models and ensure efficient data storage and retrieval.
  • Maintain data dictionaries, metadata, and documentation for data models.
  • Apply data normalization, denormalization, and other modeling techniques to meet performance and data integrity needs.
  • Ensure data models adhere to company standards for data governance, security, and privacy.
  • Optimize data structures for performance, scalability, and data integrity across data warehousing and analytics platforms.

About the Role:

We are seeking a highly skilled Senior Data Architect who has strong experience with data modeling techniques, including relational and dimensional modeling. The ideal candidate will have proficiency in database design and SQL, with a solid understanding of database management systems.

In addition, we require hands-on experience with tools such as ER/Studio, ERwin, or similar data modeling software. Knowledge of data governance, data quality, and metadata management principles is also necessary.

What We Offer:

  • A competitive salary of ₹18,00,000 per annum.
  • A comprehensive benefits package, including health insurance and retirement plans.
  • Ongoing training and development opportunities to enhance your skills and career.
  • A collaborative and dynamic work environment with a team of experienced professionals.

Required Skills and Qualifications:

  • Strong experience with data modeling techniques, including relational and dimensional modeling.
  • Proficiency in database design and SQL, with a solid understanding of database management systems.
  • Hands-on experience with tools such as ER/Studio, ERwin, or similar data modeling software.
  • Knowledge of data governance, data quality, and metadata management principles.
  • Familiarity with cloud data platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.
  • Understanding of ETL/ELT processes and data integration practices.
  • Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases, is a plus.

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