Senior Data Architect
3 weeks ago
Experience Level: Senior (10+ years in Data Architecture, 5+ years in Data Modeling)
Job Summary: We are seeking an experienced and dynamic Senior Data Architect / Data Modeler with extensive experience in data vault modeling and a robust background in data architecture. The ideal candidate will have a minimum of 10 years in data architecture and at least 5 years in data modeling. This role is critical for ensuring our data infrastructure is scalable, secure, and optimized for performance.
Key Responsibilities:
Design, implement, and maintain complex data models, including data vault models, to meet business requirements.
Develop and enforce database development standards and best practices.
Collaborate with business stakeholders to understand their data needs and translate them into technical requirements.
Lead the design and development of data architecture solutions that support enterprise data strategies.
Ensure data integrity, quality, and consistency across all data models and databases.
Provide technical leadership and mentorship to junior data architects and data modelers.
Stay current with industry trends and best practices in data architecture and modeling.
Evaluate and recommend new technologies, tools, and practices to improve data management and efficiency.
Work closely with data engineers, BI developers, and other IT teams to integrate data models into existing systems.
Participate in data governance and data management initiatives.
Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Proven experience in data architecture with a minimum of 10 years in the field.
Extensive experience in data modeling, including at least 5 years of data vault modeling.
Strong knowledge of database management systems (DBMS) such as SQL Server, Oracle, MySQL, PostgreSQL, etc.
Experience with data warehousing concepts, ETL processes, and data integration.
Proficiency in data modeling tools such as Erwin, ER/Studio, or similar.
Excellent understanding of data governance and data quality principles.
Strong analytical, problem-solving, and decision-making skills.
Excellent communication and interpersonal skills.
Ability to work effectively in a fast-paced, dynamic environment.
Certifications in data architecture or related fields are a plus.
Preferred Qualifications:
Experience with cloud data platforms AWS, and or Google Cloud.
Knowledge of big data technologies such as Hadoop, Spark, or similar.
Familiarity with NoSQL databases like MongoDB, Cassandra, or similar.
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