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Data Architect

Data Architect

SAFEWAY TAX RELIEF INCIrvine, CA, US
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Job Description

Job Description

Description :

We are seeking an experienced Data Architect to design, implement, and manage our organization’s data architecture and infrastructure. The ideal candidate will play a key role in shaping our data strategy, ensuring data availability, integrity, scalability, and security across multiple platforms. This role involves close collaboration with IT, engineering, analytics, and business teams to deliver optimized data models and solutions that support business objectives.

Key Responsibilities

  • Design and maintain scalable data architecture , including databases, data warehouses, and data lakes.
  • Develop and enforce data management standards , best practices, and governance policies.
  • Collaborate with stakeholders to translate business requirements into data models and architecture blueprints .
  • Oversee ETL (Extract, Transform, Load) processes and ensure efficient data integration from multiple sources.
  • Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, CCPA).
  • Optimize database performance and troubleshoot data-related issues.
  • Implement modern cloud-based data solutions (e.g., AWS, Azure, or Google Cloud).
  • Support the design and implementation of data analytics and business intelligence platforms .
  • Evaluate and recommend new data technologies, tools, and methodologies.
  • Mentor and collaborate with data engineers and analysts to ensure architectural consistency and data quality.

Requirements :

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering , or a related field.
  • 5+ years of experience in data architecture, data engineering, or database design.
  • Proven experience with relational and non-relational databases (e.g., SQL Server, PostgreSQL, MongoDB).
  • Experience with cloud data platforms such as AWS Redshift, Snowflake, Azure Synapse, or Google BigQuery.
  • Strong knowledge of ETL tools and data integration frameworks (e.g., Informatica, Talend, Apache Airflow).
  • Familiarity with data modeling tools (e.g., ERwin, Lucidchart, PowerDesigner).
  • Proficiency in SQL, Python, or other data scripting languages .
  • Solid understanding of data warehousing concepts , dimensional modeling, and performance tuning.
  • Experience implementing data governance , metadata management , and data quality standards .
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