Database Architect (5-7 yrs)

Position : Data Architect

Role Overview :

The Data Architect will play a pivotal role in designing and implementing the company's data infrastructure.

This position requires a strong understanding of data modeling, architecture, and best practices to ensure data quality, consistency, and accessibility across the organization.

Key Responsibilities :

- Translate Business Requirements : Convert business requirements into technical specifications for data streams, integrations, transformations, databases, and data warehouses.

- Define Data Architecture : Establish the data architecture framework, standards, and principles, including modeling, metadata, security, and master/reference data.

- Define Reference Architecture : Create a reference architecture that can be followed by others to build and improve data systems.

- Define Data Flows : Map out data flows within the organization, including data generation, consumption, management, and transformation.

- Test Database Changes : Test modifications to database applications or systems.

- Recommend Technologies : Identify, evaluate, and recommend hardware or software technologies to optimize database performance.

- Design Database Applications : Design database applications, such as interfaces, data transfer mechanisms, and indexing strategies.

- Collaborate with Teams : Work closely with system architects, software architects, design analysts, and others to understand business requirements.

- Develop Database Strategies : Develop and document database architectures at the modeling, design, and implementation stages.

Qualifications and Experience :

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- Advanced degree in Data Science or a similar field preferred.

- Minimum 5 years of experience as a data architect or a related role.

- Strong understanding of data modeling, database design, and data warehousing concepts.

- Proficiency in data modeling tools (e.g, ERWin, Rational Rose).

- Experience with various database platforms (e.g, SQL Server, Oracle, MySQL).

- Knowledge of data integration and ETL tools.

- Excellent analytical and problem-solving skills.

- Strong communication and collaboration abilities