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We are seeking a talented and experienced Data Architect to join our team. The Data Architect will be responsible for designing enterprise data management frameworks, ensuring data security and compliance, implementing data management processes, building data models and strategies to support various business needs and initiatives. This position will play a key role partnering with Technical Development stakeholders to enable analytics for long-term success.
Job Responsibility:
Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components
Design and develop data models using industry-standard modeling techniques and tools
Perform data profiling, data lineage and analysis to understand data quality, structure, and relationships
Optimize data models for performance, scalability, and usability by creating optimal data storage layer
Define and enforce data modeling standards, best practices, and guidelines
Participate in data governance initiatives to ensure compliance with data management policies and standards
Work closely with database administrators and developers to implement data models in relational and non-relational database systems
Conduct data model reviews and provide recommendations for improvements
Stay updated on emerging trends and technologies in data modeling and data management
Conduct continuous audits of data management system performance and refine where necessary
Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed
Work to integrate disparate data sources, including internal databases and external APIs
Ensure data privacy measures comply with regulatory standards
Requirements:
Full-Time bachelor’s or master’s degree in engineering/technology, computer science, information technology, or related fields
10+ years of total experience in data modeling and database design
experience in Retail domain will be added advantage
8+ years of experience in data engineering development and support
3+ years of experience in leading technical team of data engineers and BI engineers
Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions
Strong communication, interpersonal, collaboration skills along with leadership capabilities
Ability to work effectively in a fast-paced, dynamic environment as cloud SME
Act as single point of contact for all kinds of data management related queries to make data decisions
Design and manage centralized, end-to-end data architecture solutions, such as Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems
Conduct continuous audits of data management system performance and refine where necessary
Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed
Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data
Ensure data privacy measures comply with regulatory standards
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