Job Summary
This hybrid role requires an experienced architect with deep expertise in data architecture data virtualization data catalog management DevOps practices SQL and data integration. The architect will design scalable data ecosystems enable secure and compliant data access and support business decision making through reliable data platforms aligned with enterprise strategy.
Responsibilities
Design and maintain a comprehensive enterprise data architecture that aligns with organizational strategy and supports long term scalability and resilience
Develop robust data models and standards that ensure consistency accuracy and usability of data across analytical and operational platforms
Implement data virtualization solutions that provide unified access to diverse data sources while minimizing data movement and duplication
Create efficient SQL based solutions that optimize query performance support complex analytics and improve time to insight for business teams
Define and implement data integration patterns that support batch and real time data flows while maintaining reliability and data quality
Establish DevOps practices for data platforms that automate deployment testing and monitoring to improve delivery speed and platform stability
Collaborate with cross functional stakeholders to translate business requirements into practical data solutions that deliver measurable value
Develop and manage data catalog structures that enhance data discovery stewardship and trust through clear definitions and lineage
Implement data governance and security controls that protect sensitive information and ensure compliance with regulatory and organizational standards
Optimize data pipelines and platform resources to balance performance cost efficiency and sustainability objectives for the organization
Guide teams in adopting best practices for data design coding standards and documentation to improve maintainability and knowledge sharing
Perform impact analysis for changes to data structures and integration flows to reduce risk and ensure continuity of critical business processes
Mentor peers on modern data architecture patterns to build organizational capability and support a culture of continuous improvement
Qualifications
Possess extensive experience in designing enterprise data architectures that support analytics platforms data warehouses and data lakes
Demonstrate strong hands on expertise in SQL including query optimization data modeling and performance tuning in complex environments
Show proven experience with data virtualization tools and concepts enabling unified access to heterogeneous data sources
Bring solid background in data integration technologies covering batch streaming and API based data movement with focus on reliability
Exhibit practical experience with DevOps or data ops practices including automation of deployment testing and monitoring of data solutions
Have experience implementing and managing data catalog solutions that support metadata management data lineage and governance processes
Understand data governance privacy and security principles and apply them to design compliant and secure data platforms
Display strong communication and collaboration skills to work effectively with technical and non technical stakeholders in a hybrid work model
Certifications Required
Preferred certifications include data engineering or architecture credentials such as Azure Data Engineer Associate or Google Professional Data Engineer
