Why this role stands out
This mid-senior Data Architect role offers a fantastic opportunity to shape enterprise-scale data transformation initiatives using cutting-edge cloud and AI technologies within a reputable firm. You'll thrive here if you possess strong data architecture and cloud platform experience, enjoy translating business needs into technical solutions, and value collaborative work in a hybrid environment. Apply now to make a significant impact on how organizations leverage their data and advance your career.
Quick overview
Job description
Key Responsibilities
- Design scalable, secure, and efficient data architectures
- Develop data platforms, data lakes/lakehouses, and ETL/ELT solutions
- Translate business requirements into technical solutions
- Create data roadmaps aligned to business objectives and regulatory requirements
- Collaborate with stakeholders across business and technology teams
Essential Experience
- Proven Data Architect experience, ideally within Financial Services or a regulated industry
- Strong knowledge of data architecture, data modelling, and data management principles
- Hands-on SQL experience
- Experience designing modern data platforms and cloud-based solutions
- Knowledge of AWS, Azure, GCP and/or Snowflake
- Strong understanding of data governance, data quality, and data security
- Excellent stakeholder management and communication skills
Desirable Skills
- Data strategy development
- Python or similar programming languages
- Experience with Power BI, Tableau, or other reporting tools
- Data governance and data quality tooling
- Agile delivery experience
- Leadership or mentoring experience
This is an excellent opportunity to work on enterprise-scale data transformation programmes, leveraging modern cloud and AI-enabled technologies while helping organisations maximise the value of their data.
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