Architect
13 hours ago
Country/Region: IN
- Requisition ID: 21871
- Work Model:
- Position Type:
- Salary Range:
- Location: INDIA - BENGALURU - HP
**Title**:Architect**:
- Description:
**Area(s) of responsibility**:
**Job Title**: Senior Data Architect (Data Modeling & DB Optimization) with 11 + Yrs experience
**Key Responsibilities**:
- **Data Architecture Design**: Lead the design and development of comprehensive data architectures, including relational, NoSQL, and cloud-based database solutions. Build logical and physical data models that can scale to handle large volumes of data and high transaction rates.
- **Advanced Data Modeling**: Design and implement complex data models using best practices in dimensional modeling (star, snowflake, galaxy schemas), entity-relationship diagrams (ERD), and data normalization/de-normalization for performance optimization.
- **ETL and Data Integration**: Design and implement scalable ETL pipelines to integrate data from heterogeneous sources, using tools like SQL Server Integration Services (SSIS), Apache Spark, and cloud-based data transformation services.
- **Big Data Solutions**: Architect and implement solutions using big data technologies (Hadoop, Spark, AWS Redshift, Azure Synapse) to handle vast amounts of unstructured or semi-structured data, ensuring data is processed efficiently and can be analyzed in real-time.
- **Data Governance and Security**: Ensure that data is governed in compliance with industry standards and regulations, with a focus on data quality, privacy, and security.
**Essential job tasks**:
**Job Title**: Senior Data Architect (Data Modeling & DB Optimization) with 11 + Yrs experience
**Key Responsibilities**:
- **Data Architecture Design**: Lead the design and development of comprehensive data architectures, including relational, NoSQL, and cloud-based database solutions. Build logical and physical data models that can scale to handle large volumes of data and high transaction rates.
- **Advanced Data Modeling**: Design and implement complex data models using best practices in dimensional modeling (star, snowflake, galaxy schemas), entity-relationship diagrams (ERD), and data normalization/de-normalization for performance optimization.
- **ETL and Data Integration**: Design and implement scalable ETL pipelines to integrate data from heterogeneous sources, using tools like SQL Server Integration Services (SSIS), Apache Spark, and cloud-based data transformation services.
- **Big Data Solutions**: Architect and implement solutions using big data technologies (Hadoop, Spark, AWS Redshift, Azure Synapse) to handle vast amounts of unstructured or semi-structured data, ensuring data is processed efficiently and can be analyzed in real-time.
- **Data Governance and Security**: Ensure that data is governed in compliance with industry standards and regulations, with a focus on data quality, privacy, and security.
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