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Enterprise Data Solutions Architect
2 months ago
Head Resourcing is pleased to be working with a leading Asset Management company in the financial sector, seeking a talented Enterprise Data Architect to join their team on a hybrid basis. This role offers a unique opportunity to contribute to the development of the company's cloud data platform and play a key role in the digital transformation of the organization.
Key Responsibilities:
- Lead the architecture and design of data services, ensuring alignment with the company's business objectives and technical requirements.
- Develop innovative data solutions to meet the technical business needs and drive the adoption of data analytics across the organization.
- Collaborate with the CTO and Management Teams to formulate and deliver digital, data, and integration technologies strategies.
- Design and implement data integration platforms using technologies such as Snowflake, AWS, and Azure ecosystems.
- Apply architectural principles to solutions, creating high-level models that can be reused in future analysis to extend and mature the enterprise data architecture.
- Define data modelling and governance capabilities using various tools and techniques.
- Contribute to the development of data analytics, data integration technologies, and data visualization.
Requirements:
- Extensive experience in architecture, enterprise roadmaps, analytics, cloud, IT strategies, innovation, SAFe, TOGAF, and data integration concepts and methodologies.
- Recognized as a top-level expert with significant in-depth and/or breadth of expertise in the data domain.
- Demonstrable experience with cloud-based data and integration platform capabilities.
- Proven track record of success in large-scale IT organizations and transformation projects.
Benefits:
- Discretionary bonus
- Non-contributory Pension
- Private Healthcare
This role requires a talented individual with excellent future thinking capability, a thought leader who has good knowledge of Cloud Data Platforms and is comfortable working with the business to improve data quality.