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Senior Data Architect / Data Engineering Lead
Location: London (Hybrid – 2-3 days per week onsite)
We are seeking an experienced Senior Data Architect / Data Engineering Lead to join a major data transformation programme, supporting the design and delivery of modern cloud-based data platforms.
This role is suited to a senior data professional with strong expertise in Snowflake, cloud data architecture and enterprise data engineering, who can lead technical delivery while working closely with business and technology stakeholders.
The Role
You will be responsible for shaping and delivering enterprise-scale data solutions, helping organisations unlock value from their data through modern architecture, automation and data engineering practices.
Working across technology, business and reporting functions, you will provide technical leadership across data platform design, engineering delivery and data strategy initiatives.
Key Responsibilities
- Lead the architecture, design and delivery of modern enterprise data platforms.
- Develop scalable data solutions using Snowflake and cloud-native technologies.
- Provide technical leadership across data engineering teams and transformation programmes.
- Design and implement robust data ingestion, transformation and modelling solutions.
- Work with business, finance and technology stakeholders to translate requirements into effective data solutions.
- Drive adoption of modern data engineering practices, including automation, CI/CD and DevOps principles.
- Support data strategy initiatives and continuous improvement across the data landscape.
- Communicate complex technical concepts clearly to both technical and non-technical audiences.
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Essential Experience
You will have:
- Strong experience designing and delivering Snowflake-based enterprise data platforms.
- Hands-on experience with:
- DBT (Cloud/Core)
- Data ingestion technologies such as Fivetran, HVR or similar tools
- Advanced SQL and data modelling
- Cloud data platforms across AWS or Azure
- Strong understanding of modern data warehouse architectures, including:
- Data Vault
- Kimball methodology
- Lakehouse architecture
- Proven experience leading data engineering teams and delivering large-scale transformation programmes.
- Experience working within Agile and DevOps environments, including CI/CD and automation practices.
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Desirable Experience
- Experience within Financial Services or Insurance environments is highly desirable.
- Knowledge of financial data domains, including:
- Profit & Loss (P&L) reporting
- Regulatory reporting
- Enterprise reporting datasets
- Financial data models and reporting structures
Skills & Attributes
You will be:
- An excellent communicator with strong stakeholder engagement skills.
- Able to translate complex technical concepts into business outcomes.
- A strategic thinker with a strong analytical and problem-solving approach.
- Comfortable influencing technical decisions and shaping data strategy.
- Passionate about delivering high-quality, scalable data solutions.
This is an excellent opportunity for a senior data professional to play a key role in delivering modern data capabilities within a large-scale transformation environment.
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