Domain Architect
2 weeks ago
Collaborate with multiple internal/external stakeholders to implement and optimize end-to-end MDM Platform .Create MDM roadmap for upgrades, enhancements, and domain expansionsConduct source system analysis and data profiling for lifecycle managementDesign, develop, and maintain scalable and robust data pipeline architectures, ensuring data quality and consistency across multiple data sourcesCollaborate with the Business Intelligence team and business stakeholders to understand data requirements and translate them into effective and scalable technical solutionsHelp implement best practices for data governance, data security, and data privacy, ensuring compliance with relevant industry regulations and standardsDevelop and maintain ETL (Extract, Transform, Load) processes to support data ingestion, transformation, and integration from various sources, including APIs, databases, and external data providersMonitor and troubleshoot data pipeline performance issues, ensuring timely resolution and minimal downtimeOrganize and monitor testing, training, documentation, and sign offs related to data platformsConfigure and implement data management and analytic platform changesDocument data pipeline architectures, workflows, and procedures for internal and external stakeholdersWork closely with cross-functional teams to support the integration of data-driven insights into business processes and decision-makingExperience & SkillsExperience:
Bachelors or masters degree in computer science, Engineering, or a related field5 years of experience in data engineering, with a proven track record of designing and implementing complex data pipelinesStrong expertise in Microsoft SQL, data modeling, and data warehousing conceptsProficient in the Microsoft Azure framework (e.g., Analysis Service, Data Factory, )
Required Skills:
Strong problem-solving skills, attention to detail, and ability to work both independently and as part of a teamExcellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholdersA strong desire to stay up to date with the latest industry trends and advancements in data engineering
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