
Lead Data Architect
3 days ago
Job Title: Senior Data Architecture Expert
Job OverviewThis role entails serving as a strategic data architecture leader, spearheading the development and implementation of robust data structures and scalable systems. The ideal candidate will possess extensive experience in data handling, analysis, and visualization, with a strong background in technical expertise.
Key Responsibilities:- Data Management and Processing
- Proficiency in SQL Server and query optimization to ensure efficient data retrieval and storage.
- Expertise in application data design and process management to streamline data flow and reduce errors.
- Extensive knowledge of data modeling to create robust and scalable data structures.
- Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric to automate data processing and integration.
- Experience working with Azure Databricks for big data processing and analytics.
- Expertise in data warehouse development, including experience with SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services) for data extraction, transformation, and loading.
- Proficiency in ETL processes (data extraction, transformation, and loading), including data cleaning and normalization to ensure data quality.
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) for large-scale data processing and analysis.
- Understanding of data governance, compliance, and security measures within Azure environments to protect sensitive data.
- Data Analysis and Visualization
- Experience in data analysis, statistical modeling, and machine learning techniques to uncover insights and trends.
- Proficiency in analytical tools like Python, R, and libraries such as Pandas, NumPy for data analysis and modeling.
- Strong expertise in Power BI for data visualization, data modeling, and DAX queries, with knowledge of best practices.
- Experience in implementing Row-Level Security in Power BI to ensure data access controls.
- Ability to work with medium-complex data models and quickly understand application data design and processes.
- Familiar with industry best practices for Power BI and experienced in performance optimization of existing implementations.
- Understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques.
- Leadership and Communication
- Ability to lead a team of 4-5 developers and take ownership of deliverables.
- Demonstrates a commitment to continuous learning, particularly with new technologies.
- Strong communication skills in English, both written and verbal.
- Able to effectively interact with customers during project implementation.
- Capable of explaining complex technical concepts to non-technical stakeholders.
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Data Architect
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