Responsibilities
- Design scalable and secure data architectures for enterprise environments
- Demonstrate at least two years of experience designing large-scale data platforms for enterprises
- Possess deep knowledge in creating data architecture frameworks, including data lakes, lakehouse models, and real-time data processing systems
- Have a minimum of two years of experience leading end-to-end cloud data solution implementations on platforms such as Azure, AWS, or GCP
- Ensure architectural designs adhere to industry standards and support long-term organizational goals
- Bring over seven years of experience in managing distributed data systems, including relational and NoSQL databases, data transformation, processing, and high-availability solutions
- Apply advanced data modeling techniques and integrate data across systems
- Hold at least four years of practical experience in data modeling, data warehousing, and business intelligence technologies
- Work with modern data platforms such as data lakes, lakehouse architectures, data warehouses, streaming systems, NoSQL databases, and cloud-native environments
- Design and deploy solutions across both on-premise and cloud-based infrastructures
- Demonstrate strong technical skills in SQL, Spark/Scala, and data analytics workflows
- Support data governance and security frameworks across enterprise systems
- Be knowledgeable in core data management areas including data governance, security, master data management (MDM), data quality, cataloging, and metadata management
- Ensure compliance with international data protection laws such as GDPR, CCPA, or similar regulations
- Have exposure to generative AI technologies and their integration into enterprise data ecosystems
- Show mandatory hands-on experience with generative AI projects and implementations
- Work collaboratively with engineering, analytics, and IT teams to align technical architecture with business objectives
- Communicate complex technical concepts clearly to both technical and non-technical audiences
- Translate architectural decisions into actionable business insights
