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2 weeks ago
The Senior Data Architect role involves creating innovative data solutions that drive digital transformation and business growth.
You will design, implement and maintain large-scale data ingestion, processing, storage and analytics in cloud environments.
Key responsibilities include collaborating with clients to design solutions for data platforms, building prototypes and solutions for cloud, on-prem, hybrid and edge-based data platforms and creating infrastructure-as-code for cloud, on-prem and hybrid environments using tools such as Terraform and Cloud Formation.
Requirements
- Deep understanding of modern data architecture and its application to business transformation.
- Expertise in cloud-native architectures, with practical experience in hyperscaler platforms.
- Experience designing, building and optimising scalable data pipelines and distributed systems in Snowflake and/or Databricks.
- Expertise in Python and SQL, with deep knowledge of performance tuning, sharding, partitioning and indexing.
- Understanding of database technologies, including relational, NoSQL and cloud-native storage solutions.
- Experience in CI/CD, automated testing and cloud infrastructure-as-code.
- Excellent written, verbal, numerical and presentation skills.
- Willingness to travel and work on client sites to deliver exceptional services.
Required Skills and Qualifications
Strong expertise in data engineering and architecture is required. Candidates should have a strong track record of delivering high-quality projects on time and on budget.
Desirable Skills
- Experience in two or more of the following industries: Banking, Insurance, Wealth, Retail and Public Sector.
- Experience in both established and challenger professional services firms, with an entrepreneurial and growth mindset.
