
Data Transformation Strategist
2 weeks ago
We are excited to offer an opportunity to work in the cutting-edge space of GenAI and data transformation.
This role involves building and maintaining data management related modules for a leading company's product. The ideal candidate will have 10-15 years of experience in data management and leadership roles.
Key Responsibilities:
- Drive the design, development, and deployment of data management and storage related modules
- Oversee data architecture and data integration processes
- Enable real-time and batch ETL and ELT processes, ensuring data quality, performance and optimal usage of appropriate storage technologies
- Ensure data governance principles and best practices are followed, including authorization, logging and data security
- Establish secure data access controls, data masking, and encryption processes
- Develop a central technical and business meta data layer leveraging modern, knowledge graph and AI based technologies
- Lead a team of developers to deliver above capabilities and features in a matrix environment
- Partner with product management to ensure alignment with market and customer trends
Qualifications:
- Bachelor's or master's degree in computer science or a related field
- 10-15 years of experience in data management, with at least 10 years in a similar role
- Proven experience leading teams and projects in data management
- Strong proficiency in big data technologies (e.g., Spark, Kafka), SQL, and data warehousing solutions
- Experience with ETL and ELT tools and processes
- Proficiency in data modelling and data warehouse / data lake / data Lakehouse concepts
- Knowledge and experience of data quality concepts and metadata management
- Understanding of data governance principles and best practices, like GDPR and HIPAA
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