As a Data Solution Architect, you will be expected to take an architecture lead role on our client’s solution delivery engagements, with high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life cycles with an emphasis of working in client facing environments.
Typically, the role will involve the following:
- Translating Business requirements to technical solutions and the production of specifications,
- Designing and implementing business intelligence & modern data analytics platform technical solutions,
- Data architecture design and implementation,
- Data modelling,
- ETL, data integration and data migration design and implementation,
- Master data management system and process design and implementation,
- Data quality system and process design and implementation,
- Major focus on data science, data visualisation, AI, ML,
- Documentation of solution (e.g. data modelling, configuration, and setup etc.) including HLD and LLD,
- Working within a project management/agile delivery methodology,
- Managing Team Members on a day-to-day basis,
- Managing technical delivery of solution.
- Hands on experience with data solution architecture, design, rollout and technical leadership
- Hands on experience with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure
- Strong team leadership and/or customer management experience; experience of leading a team of technical resources and developing junior and senior people on the team
- Cloud experience in AWS or Azure with Databricks experience is desirable
- Experience and demonstrated competencies with multi-dimensional design, star schemas, facts and dimensions
- Expertise in logical and physical data warehouse database design, DWH development
- Experience and demonstrated competencies in ETL development techniques
- Experience in data warehouse performance optimization
- Good knowledge and concepts around data science, data visualisation etc. side
- Experience on projects across a variety of industry sectors an advantage
- Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
- Good knowledge of Databricks, Snowflake, Azure / AWS / Oracle cloud, R, Python
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.
One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.
We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.
