Data architect
1 month ago
Job Description: We are seeking a highly skilled Data Architect to design, develop, and implement scalable and optimized data architecture solutions.
As a Data Architect, you will play a key role in defining and maintaining our data strategy, ensuring data availability, accessibility, reliability, and security.
Responsibilities: Design and implement data architecture strategies for large-scale and complex datasets.
Develop data models for databases, data warehouses, and data lakes.
Define data standards, policies, and procedures for data management and governance.
Evaluate and select appropriate technologies and tools for data storage, processing, and analysis.
Collaborate with cross-functional teams to integrate data solutions into business processes and applications.
Optimize and refactor existing data architecture to improve performance, scalability, and reliability.
Ensure data quality and integrity through validation, testing, and documentation.
Implement security and encryption measures to protect data.
Monitor and troubleshoot data architecture issues and performance bottlenecks.
Requirements: Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).
Proven work experience as a Data Architect or similar role.
Strong understanding of database management systems, data warehousing, and ETL processes.
Proficiency in database design and data modelling (relational and non-relational databases).
Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud).
Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
Knowledge of data governance and compliance standards.
Ability to evaluate and recommend appropriate data solutions and technologies.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.
Preferred Skills: Master’s degree in computer science, Data Science, or a related field.
Experience with data visualization tools (e.g., Tableau, Power BI).
Knowledge of machine learning and AI concepts.
Certification in data management or architecture (e.g., CDMP, DAMA).
Experience with agile development methodologies.
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