Country/Region:  IN
Requisition ID:  8913
Work Model: 
Position Type: 
Salary Range: 
Location:  INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Title:  Sr Principal Consultant

Description: 

Azure Data Architect

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

Job Description:

We are seeking a highly skilled and experienced Azure Data Architect to join our team. As an Azure Data Architect, you will play a key role in designing and implementing data solutions on the Microsoft Azure platform. The ideal candidate will have a strong background in data architecture, a deep understanding of Azure data services, and the ability to develop scalable and efficient data solutions that meet business requirements.

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.