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Data Architect
2 months ago
MyCareersFuture is seeking an experienced and highly skilled Data Architect to play a critical role in designing, architecting, and evolving infrastructure and data models to support the Enterprise Engineering Operations services.
Key Responsibilities:- Collaborate with data analysts to deliver high-quality dashboards, reports, and analyses on time.
- Design, optimize, and maintain best practice data warehouse solutions and data models for efficient data storage and retrieval.
- Develop and maintain standardized schema and data definitions across the organization.
- Implement automated data quality management processes to ensure data integrity and reliability.
- Produce and maintain comprehensive documentation for all data sources and artifacts to support self-service capabilities across the organization.
- Build and enforce processes for data retention and lifecycle management.
- Partner with Data Engineering and cross-functional teams to develop core datasets for operational and exploratory analysis.
- Work with business teams to analyze and document structural requirements for new systems and applications, designing conceptual and logical data models and flowcharts.
- Establish best practice data governance to foster a data-informed organization.
- Recommend and implement improvements to existing systems, advancing the organization's data maturity.
- Monitor and optimize the performance of the data warehouse through regular testing, troubleshooting, and the integration of new features.
- Bachelor's degree in Computer Science, Information Management, Data Analytics, or a related field.
- With 5-8 years of experience as a Data Analyst, Data Architect, Data Scientist, Data Engineer, or in a similar role.
- Proficiency in Python, SQL, Presto, Hive, and Spark.
- Strong understanding of database structure principles, data mining, and ETL processes.
- Expertise in data architecture, data modeling, schema design, and effective data management.
- Proven experience in querying and working with large datasets.
- Excellent organizational, analytical, and problem-solving skills.
- Experience collaborating with business and product teams.
- Experience in gathering and analyzing system requirements.
- Familiarity with data visualization tools (e.g., Tableau or equivalent).