Data Architect (The Data Infrastructure Visionary)

Posted 2024-11-07

💎 Seniority level: Senior, 5+ years

📍 Location: United States

🔍 Industry: Data Architecture and Management

🏢 Company: Unreal Gigs

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSSQLApache AirflowApache HadoopETLGCPHadoopMachine LearningSnowflakeStrategyAirflowAzureData scienceSparkCollaboration

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.
Extensive experience in designing and implementing data architectures, including data modeling and data warehousing.
Proficiency with cloud data services such as AWS, GCP, or Azure.
Strong understanding of ETL processes and data integration tools like Apache NiFi or Talend.
Expertise in data governance frameworks and data security policies.
Certifications in data architecture or cloud platforms are highly desirable.

Architect and implement a scalable, high-performance data infrastructure to support business analytics and operational reporting.
Create data governance frameworks and enforce data security policies.
Work closely with leadership and data teams to align architecture with strategic goals.
Design and manage data warehousing solutions for efficient storage and retrieval.
Develop and oversee ETL pipelines for accurate data integration.
Enable advanced analytics by building architecture for machine learning.
Create comprehensive documentation for data architectures and best practices.

Posted 2024-11-07

📍 United States

🔍 Data Architecture

🏢 Company: Unreal Gigs

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.

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.

AWSSQLApache AirflowApache HadoopETLGCPHadoopMachine LearningSnowflakeStrategyAirflowAzureData scienceSparkCollaboration

Posted 2024-11-07

🔧 Requirements