Insight Global is hiring a Lead Data Architect for one of our retail clients!
Responsibilities:
Data Architecture Design:
- The Data Architect is responsible for designing the overall data architecture and data modeling strategies for the - BI system.
- They collaborate with stakeholders to understand business requirements and translate them into a robust and scalable data model.
Data Integration:
- Data Architect will work on integrating data from various sources, such as databases warehouses and external systems. They develop strategies for data extraction, transformation, and loading (ETL) processes to ensure data accuracy, consistency, and availability for reporting and analysis.
BI Tool Selection and Implementation:
- Evaluate and select appropriate BI tools and technologies based on the organization's needs. Run POC and the implementation and configuration of BI software, including data visualization tools, reporting platforms, and analytics solutions.
Performance Optimization:
- Monitor and optimize the performance of the BI system to ensure efficient data retrieval, processing, and reporting. They identify and resolve performance bottlenecks by tuning queries, optimizing data structures, and implementing caching mechanisms.
Collaboration and Stakeholder Management:
- Data Architect collaborates with business stakeholders, data analysts, developers, and IT teams to understand their requirements and deliver solutions that meet their needs. They communicate complex technical concepts to non-technical stakeholders and provide guidance on leveraging BI capabilities.
Continuous Improvement:
- They stay updated with the latest trends, technologies, and best practices in the BI field. They explore opportunities for process improvement, automation, and innovation to enhance the organization's data analytics capabilities.
Data Governance and Security:
- Data Architect needs to establish data governance policies and procedures to ensure data quality, consistency, and security. Define access controls, data privacy measures, and data retention policies to comply with regulatory requirements and protect sensitive information.
Required Skills:
- 8-10 years of experience in data engineering/architecture
- SQL
- Databricks
- DataStage
- Tableau
- Informatica
