Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailNot Disclosed
Salary Not Disclosed
1 Vacancy
We are looking for a detailoriented Database/Warehouse Architect to design implement and maintain enterpriselevel database and data warehousing solutions. You will play a key role in defining data architecture creating scalable systems and ensuring data availability accuracy and security. This role requires deep expertise in data modeling ETL processes and business intelligence tools.
Data Architecture Design: Develop and implement comprehensive data architectures for databases and warehouses to meet organizational goals.
Data Modeling: Design and optimize data models for operational and analytical purposes ensuring data consistency and performance.
ETL Management: Oversee Extract Transform Load (ETL) processes to ensure efficient data integration and transformation.
Data Warehousing: Build and maintain robust data warehouses to support business intelligence and reporting needs.
Data Governance: Establish policies and standards for data management ensuring compliance with organizational and regulatory requirements.
Performance Optimization: Monitor and improve database and warehouse performance scalability and availability.
Security: Implement and manage security measures to protect data integrity and prevent unauthorized access.
Collaboration: Work closely with business and IT teams to understand data requirements and provide strategic solutions.
Documentation: Maintain detailed documentation of data architectures processes and standards.
Continuous Improvement: Identify opportunities to enhance data systems leveraging the latest tools and technologies.
Bachelors degree in Computer Science Information Systems or a related field.
Proven experience in database and data warehouse architecture.
Handson expertise with relational and nonrelational database systems (e.g. SQL Server Oracle PostgreSQL Snowflake).
Proficiency in data modeling ETL processes and business intelligence tools (e.g. Tableau Power BI).
Knowledge of data governance frameworks and metadata management.
Familiarity with cloudbased data platforms (e.g. AWS Redshift Google BigQuery).
Strong analytical and problemsolving skills.
Effective communication and collaboration abilities.
Capacity to balance technical depth with strategic vision.
Certifications in data architecture or database systems (e.g. CDMP Microsoft Azure Data Engineer).
Experience with big data frameworks and tools (e.g. Hadoop Spark).
Competitive salary and comprehensive benefits package.
Opportunities for professional growth and development.
A collaborative and innovative remote work environment.
Full Time