What are the responsibilities and job description for the Data Architect, MDM position at Assigncorp?
Our client, a leading organization in the financial sector, is seeking a Data Architect, MDM to join their team to lead MDM initiatives to ensure consistency, accuracy, and integrity of data across the organization, with a strong focus on Semarchy solutions.
Responsibilities
• Architectural Design: Develop scalable and efficient data architectures to support enterprise applications, analytics, and reporting.
• Requirements Gathering: Collaborate with stakeholders to capture business needs and translate them into robust data solutions.
• Database Management: Implement best practices for database design, data modeling, and optimization.
• ETL and Data Integration: Design and oversee ETL processes for effective data integration and transformation.
• Data Warehousing: Build and maintain data warehouses to enable comprehensive reporting and analytics.
• Cloud Solutions: Utilize Azure Cloud Computing, including services like Azure SQL and Databricks (Spark), for data storage, processing, and advanced analytics.
• Programming: Develop and manage data solutions using Python and SQL.
• Data Visualization: Utilize tools like Microsoft Power BI to deliver impactful data insights and dashboards.
• Documentation: Create and maintain detailed documentation, including architecture diagrams, standards, and models.
• Data Governance: Ensure data security, integrity, and availability across the organization.
• Innovation: Stay abreast of industry trends in data architecture and recommend enhancements to existing systems.
Requirements
• Master Data Management: Strong experience with MDM tools and frameworks, with a preference for hands-on expertise in Semarchy.
• Primary Skills: Expertise in Azure Cloud Computing, Databricks (Spark), Azure SQL, Python, and SQL is essential.
• Database Design: Strong understanding of database architecture principles and best practices.
• ETL Processes: Experience with tools and methodologies for efficient data integration.
• Data Warehousing: Knowledge of data warehousing concepts and implementation strategies.
• Linked Data: Familiarity with Linked Data principles is a plus.
• Analytical Skills: Strong problem-solving abilities to address complex data architecture challenges.
• Communication: Excellent verbal and written communication skills to engage with both technical teams and business stakeholders effectively.
Preferred Experience
• CRM: Knowledge of Salesforce for customer relationship management.
• Fund Accounting: Experience with Investran for fund accounting and portfolio management.
• HCM: Familiarity with Workday for human capital management.
• Private Equity Data: Experience using FIS iLEVEL for private equity data aggregation and reporting.
• Data Visualization: Expertise in building dashboards and visualizations with Microsoft Power BI.
