Lead the design and development of scalable and flexible data architectures to meet complex business requirements across various platforms and environments
Job Summary
Lead the design and development of scalable and flexible data architectures to meet complex business requirements across various platforms and environments.
Design and implement data platforms ensuring seamless integration with existing on-premise or cloud environments.
Collaborate closely with business stakeholders, data scientists, and analysts to understand data requirements and deliver tailored solutions that enable data-driven decision-making.
Matching Summary
Lead the design and development of scalable and flexible data architectures to meet complex business requirements across various platforms and environments.
Skills & Requirements
Must-have
Enterprise-level data platforms
Hyperscale cloud platforms
Data architecture design
Cloud data platforms
Data governance & security
Stakeholder engagement
Nice-to-have
Technology leadership
Continuous improvement and innovation
Evolving environment
Trusted advisor to senior leadership
Key Requirements
10+ years of experience in data architecture
Experience with hyperscalers (AWS, Azure, GCP)
Proven track record of designing cloud-native data platforms
Strong proficiency in cloud data technologies
Experience in data modeling, data warehousing, and data integration (ETL/ELT)
In-depth knowledge of data governance, data security, and compliance frameworks