Data Warehouse Architect

**Title - **Data Warehouse Architect

**Location -** Kharadi, World Trade Center, Pune

**Experience Range** **-** 15 Years

**Roles & Responsibilities**:

- **Data Warehouse Design**:Define the architecture and structure of the data warehouse, including data models, schemas, and data integration processes.
- ** Data Modeling**: Develop data models (e.g., star schema, snowflake schema) to optimize data storage and retrieval for reporting and analysis.
- ** ETL (Extract, Transform, Load)**: Design and oversee the implementation of ETL processes to extract data from source systems, transform it to meet business needs, and load it into the data warehouse.
- ** Performance Optimization**: Continuously monitor and optimize the data warehouse’s performance to ensure efficient query processing and data retrieval.
- ** Data Quality Assurance**: Implement data quality checks and validation processes to maintain data accuracy and consistency within the data warehouse.
- ** Security and Access Control**: Establish security protocols and access controls to protect sensitive data within the data warehouse, ensuring compliance with data privacy regulations.
- ** Scalability and Growth**: Plan for the scalability of the data warehouse to accommodate future data growth and evolving business requirements.
- ** Documentation**: Maintain comprehensive documentation of the data warehouse architecture, data flows, and transformation processes.
- ** Collaboration**: Work closely with business analysts, data analysts, and data engineers to understand data requirements and translate them into data warehouse solutions.
- ** Vendor Evaluation**: Evaluate and recommend data warehousing tools and technologies, such as data warehouse platforms (e.g., Snowflake, Amazon Redshift, Azure Synapse Analytics), ETL tools, and BI tools.
- ** Performance Tuning**: Identify and resolve performance bottlenecks, optimizing query performance and system efficiency.
- ** Disaster Recovery and Backup**: Implement strategies and plans for data warehouse backup, disaster recovery, and business continuity.
- ** Data** **Governance**: Enforce data governance and data management best practices to maintain data quality, lineage, and compliance.

**Must Skills**:

- **Data Modeling**: Develop data models (e.g., star schema, snowflake schema) to optimize data storage and retrieval for reporting and analysis.
- ** ETL (Extract, Transform, Load)**: Design and oversee the implementation of ETL processes to extract data from source systems, transform it to meet business needs, and load it into the data warehouse.
- ** Performance Optimization**: Continuously monitor and optimize the data warehouse’s performance to ensure efficient query processing and data retrieval.
- ** Data Quality Assurance**: Implement data quality checks and validation processes to maintain data accuracy and consistency within the data warehouse.
- ** Security and Access Control**: Establish security protocols and access controls to protect sensitive data within the data warehouse, ensuring compliance with data privacy regulations.
- ** Scalability and Growth**: Plan for the scalability of the data warehouse to accommodate future data growth and evolving business requirements.
- ** Documentation**: Maintain comprehensive documentation of the data warehouse architecture, data flows, and transformation processes.
- ** Collaboration**: Work closely with business analysts, data analysts, and data engineers to understand data requirements and translate them into data warehouse solutions.
- ** Vendor Evaluation**: Evaluate and recommend data warehousing tools and technologies, such as data warehouse platforms (e.g., Snowflake, Amazon Redshift, Azure Synapse Analytics), ETL tools, and BI tools.

**Good to have skills**
- **Big Data Technologies**: Familiarity with big data technologies such as Hadoop, Hive, and HBase can be valuable.
- ** Cloud Services**: Knowledge of cloud platforms like AWS, Azure, or Google Cloud can be essential, as many organizations are moving their data warehousing solutions to the cloud for scalability and cost-effectiveness.

**Qualifications and Education Requirements***
- Bachelor’s degree in computer science, information technology, or a related field.
- Proven experience as an DW Architect or similar role.

**Job Category**:Tech**Job Type**:Full Time**Job Location**:India