About the Role
The role involves designing and implementing data solutions, supporting data governance frameworks, and enabling scalable data architectures to meet business needs.
Responsibilities
- Design and manage data models for enterprise systems
- Implement data integration workflows across platforms
- Support data governance policies and compliance standards
- Ensure data quality through validation and monitoring processes
- Collaborate with stakeholders to define data requirements
- Develop metadata management practices
- Optimize data storage and retrieval performance
- Troubleshoot data pipeline issues
- Work with cloud-based data platforms
- Support migration of data to modern architectures
- Document data processes and system configurations
- Participate in data security initiatives
- Assist in defining data ownership and stewardship
- Integrate data from disparate sources
- Maintain data dictionaries and lineage records
- Support business intelligence reporting needs
- Evaluate new data tools and technologies
- Contribute to data architecture planning
- Ensure scalability of data solutions
- Promote best practices in data management
Nice to Have
- Master's degree in data science, computer science, or related area
- Experience with big data technologies such as Hadoop or Spark
- Certification in data management or cloud platforms
- Background in financial services or technology sectors
- Familiarity with data privacy regulations
- Experience with real-time data streaming platforms
- Knowledge of machine learning data pipelines
Work Arrangement
Hybrid
Team
Data and analytics team
Why Join Us
- Opportunity to work on cutting-edge data initiatives in a collaborative environment
- Exposure to diverse projects across industries
- Support for professional growth and skill development
What You’ll Do
- Lead data design and implementation for enterprise solutions
- Ensure data consistency and reliability across systems
- Partner with business and technical teams to deliver data services
Not specified
