Data Architect (The Data Infrastructure Visionary)

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Requirements:

• Extensive experience in designing and implementing data architectures, including data modeling, data warehousing, and data lakes.
• Proficiency with cloud data services such as AWS, GCP, or Azure and hands-on experience with cloud-native storage solutions like BigQuery, Redshift, or Azure SQL Data Warehouse.
• Strong understanding of ETL processes, data integration, and data transformation best practices.
• Expertise in setting up data governance frameworks, data quality standards, and data security policies.
• Proven ability to work cross-functionally with data engineers, analysts, and business stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Data Management, Information Technology, or a related field.
• 5+ years of experience in data architecture or a related field.

Responsibilities:

• Architect and implement a scalable, high-performance data infrastructure to support business analytics, data science, and operational reporting.
• Create data governance frameworks and enforce data security policies to ensure data accuracy, privacy, and compliance.
• Work closely with executive leadership, data engineers, and analysts to align the data architecture with the company’s strategic goals.
• Design and manage data warehousing solutions such as Snowflake, BigQuery, or Redshift.
• Develop and oversee ETL pipelines to ensure seamless integration of data from multiple sources.
• Enable advanced analytics by building architecture that supports machine learning and predictive analytics.
• Create comprehensive documentation of data architectures, schemas, and best practices.