Data Architect
4 weeks ago
Job Location: Santa Clara, CA ( Hybrid )
Pay rate: $55-60/hr.
Job Description:
- Data Architect with expertise in modeling data lake and data warehouse environments, as well as extensive experience in database analysis, optimization, and query performance optimization.
- The ideal candidate will have a strong understanding of database table retrievals, partitions, indexing, and query optimization techniques.
Responsibilities:
- Design and implement logical and physical data models for data lake and data warehouse environments.
- Collaborate with stakeholders to gather requirements and translate them into effective data models.
- Develop and maintain data architecture standards and best practices for data lake and data warehouse implementations.
- Design and implement data partitioning strategies to enhance query performance on large datasets.
- Define and implement appropriate indexing strategies to optimize data retrieval operations.
- Analyze database performance and identify areas for optimization, including query tuning, index optimization, and database configuration tuning.
- Collaborate with database administrators and developers to optimize database performance and resolve performance issues.
- Conduct thorough database analysis to identify and resolve bottlenecks and performance challenges.
- Perform capacity planning and recommend hardware/software upgrades to support data architecture requirements.
- Stay up-to-date with emerging trends and technologies in data architecture, data management, and query optimization.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, or a related field (Master's degree preferred).
- Proven experience as a Data Architect, specifically in modeling data lake and data warehouse environments.
- Strong understanding of database table retrievals, partitions, indexing, and query optimization techniques.
- Proficiency in data modeling tools such as ERwin or PowerDesigner.
- Expertise in SQL programming and query optimization.
- Experience with data warehousing platforms such as Oracle, SQL Server, Clickhouse or any columnar database.
- Strong analytical and problem-solving skills with the ability to analyze complex database performance issues.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Ability to prioritize and manage multiple projects simultaneously.
- Knowledge of emerging trends and technologies in data architecture and query optimization.
Skill 1 - 4+ Years of Exp in Data Architecture
Skill 2 - 7+ Years of Exp in Modelling Data lake
Skill 3 - 7+ Years of Exp in Modelling Data warehouse
Skill 4 - 8+ Years of Exp in SQL programming and query optimization
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