Solution Architect

7 months ago

Hinjawadi Pune Maharashtra, India BirlaSoft Full time

Country/Region: IN- Requisition ID: 14695- Work Model:
- Position Type:
- Salary Range:
- Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI**Title**:Solution Architect**:

- Description:

**Azure Data Architect**

**Mandatory Skills - **Solution Architecture - Pyspark + Databricks + Adf + Synapse is mandatory

**Responsibilities**:

- Data Architecture and Design:

- Lead the design and architecture of data solutions on the Microsoft Azure platform.
- Define and implement data models, data flows, and data storage solutions based on business requirements.

**Azure Data Services**:

- Expertise in leveraging Azure data services such as Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, and others to build comprehensive data solutions.
- Design and implement data pipelines for data processing and transformation.

**Big Data and Analytics**:

- Architect and implement solutions for big data processing and analytics using Azure technologies.
- Utilize tools like Azure HDInsight, Apache Spark, and Azure Data Factory for large-scale data processing.

**Data Governance and Security**:

- Implement data governance practices and ensure compliance with security and privacy requirements.
- Design and implement access controls, encryption, and auditing mechanisms for data protection.

**Data Integration and ETL**:

- Develop and implement efficient data integration and ETL processes.
- Ensure seamless data flow between on-premises and cloud-based systems.

**Performance Optimization**:

- Optimize data solutions for performance, scalability, and cost efficiency.
- Conduct performance tuning and implement best practices for data storage and retrieval.

**Collaboration and Communication**:

- Collaborate with cross-functional teams, business stakeholders, and IT teams to understand data requirements and deliver effective solutions.
- Provide guidance and support to data engineers and analysts.

**Documentation**:

- Create and maintain comprehensive documentation for data architectures, data models, and data processes.
- Ensure documentation is kept up-to-date with changes in the data environment.

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