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Lead Technology Consultant at Anson McCade
Location: London (Hybrid / Flexible Work Options)
Salary: Up to £115,000 + Benefits
Are you a highly skilled Data Architect with deep technical expertise in data modelling, real-time integrations, and cloud solutions? We’re looking for someone who can design and optimise complex data architectures that power advanced analytics, streaming platforms, and data-driven products.
This role sits within a cutting-edge engineering team, where you’ll focus on data modelling excellence and technical leadership rather than full end-to-end delivery. You’ll play a pivotal role in shaping enterprise-wide data standards, ensuring scalability, compliance, and innovation across data solutions.
What you’ll be doing
* Designing conceptual, logical, and physical data models for analytics, streaming, and data product implementations.
* Defining and upholding data architecture principles, standards, and best practices.
* Collaborating with stakeholders, engineers, solution architects, and product teams to gather requirements and deliver solutions.
* Leading on data integration, migration, and transformation strategies.
* Establishing enterprise data models, dictionaries, lineage, and metadata repositories.
* Optimising data products for performance, scalability, and reliability.
* Evaluating new tools, technologies, and industry trends to keep the organisation at the forefront of data innovation.
* Providing technical leadership and mentorship on best practices in data modelling.
What you’ll bring
* 10+ years of experience in data architecture and modelling.
* Expertise in data modelling standards and methodologies (Dimensional, 3NF, Data Vault 2.0).
* Strong understanding of analytical and real-time/streaming data solutions.
* Proficiency with modelling tools (Erwin, Lucidchart, SAP PowerDesigner).
* Hands-on skills in Python and SQL (Snowflake or equivalent).
* Solid knowledge of AWS cloud services (Lambda, SNS, S3, EKS, API Gateway).
* Experience with data warehouses, ETL/ELT pipelines, and big data (Snowflake, Spark).
* Familiarity with data governance and compliance frameworks.
* Excellent communication and stakeholder management skills.
Desirable Extras
* Certifications in data modelling, cloud, or database technologies.
* Experience developing enterprise data models and API/interface modelling.
* Knowledge of CI/CD pipelines (GitHub Actions or similar).
* Exposure to Snowflake, Apache Airflow, DBT, Atlan, and iceberg tables.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
IT Services and IT Consulting
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