Solutions Architect

Avance Consulting; England; On-site; GBP 85,000 - 120,000; Full time

Job summary

Avance Consulting is seeking a senior data architecture professional to work across the Customer domain, designing practical solutions that integrate customer, campaign, and marketing data systems. The role sits between domain and data architects to translate strategic design into implementable data flows on AWS and Snowflake.

You will evaluate third-party solutions, propose internal alternatives, and mentor engineers while collaborating with product and business stakeholders to align AI

Qualifications

• Strong experience with customer data and marketing data systems (e.g., CDP, master data management)
• Understanding of GDPR implications for customer data solutions
• Knowledge of single customer view and data quality concepts
• Exposure to ETL processes and real-time paradigms
• Familiarity with data platforms and cloud architectures

Responsibilities

• Analyse current third-party marketing data solutions and design alternative internal solutions
• Evaluate integration options including APIs, data schemas, file layouts, and table structures
• Collaborate with the domain architect to ensure alignment with high-level business strategy
• Work closely with data architects to understand detailed data structures and constraints
• Propose infrastructure solutions primarily on AWS and Snowflake, with some Azure exposure as needed
• Engage with multiple stakeholder groups to gather requirements and validate designs
• Attend frequent stakeholder meetings, particularly in the early phases of onboarding
• Produce solution designs and documentation for engineering teams to implement
• Serve as a technical leader and mentor data engineers
• Partner with data scientists to deploy research models on Snowflake and AWS
• Engage with product and business stakeholders to align AI solutions with enterprise strategy

Skills

Stakeholder management

Communication

Adaptability

Leadership

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

AWS

Azure

Airflow

Job description

The Role

Work across the Customer family, particularly the Customer Decisioning domain

Sit between the domain architect (strategic high-level design) and data architects (detailed data structures) to design practical solutions

Analyse existing third-party solutions to propose viable internal alternatives aligned with Customer architecture principles

Design solutions that integrate customer, campaign, and marketing data systems

Propose suitable technologies (e.g. assessing when to introduce Kafka) to replace or improve current systems

Suggest and design necessary infrastructure components (primarily AWS & Snowflake, some Azure)

Your responsibilities:

Analyse current third-party marketing data solutions and design alternative internal solutions

Evaluate integration options including APIs, data schemas, file layouts, and table structures

Collaborate with the domain architect to ensure alignment with high-level business strategy

Work closely with data architects to understand detailed data structures and constraints

Propose infrastructure solutions primarily on AWS and Snowflake, with some Azure exposure as needed

Engage with multiple stakeholder groups to gather requirements and validate designs

Attend frequent stakeholder meetings, particularly in the early phases of onboarding

Produce solution designs and documentation for engineering teams to implement Leadership & Collaboration

Serve as a technical leader and mentor data engineers.

Partner with data scientists to deploy research models on Snowflake and AWS.

Engage with product and business stakeholders to align AI solutions with enterprise strategy.

Essential skills/knowledge/experience:

Strong experience with customer data and marketing data systems

Understanding of GDPR implications for customer data solutions

Knowledge of single customer view, master data management, CRM and Customer Data Platform concepts

Exposure to data quality tools, ETL processes and real-time paradigms.

Technical Skills:

API integrations and design

Experience with Snowflake and SaaS Marketing Platforms (desirable)

Ability to assess and recommend technologies such as Kafka

Familiarity with AWS infrastructure, with some exposure to Azure beneficial

Soft Skills:

Strong stakeholder management and communication skills

Ability to engage with diverse groups: marketing, product, finance, logistics, engineering, and architecture teams

Adaptability to quickly learn and evaluate new tools and technologies as needed

Stakeholders:

Direct: Domain Architect, Data Architects, Engineering Manager, Product Manager, Delivery Manager

Wider: Engineering teams, Marketing teams, Product stakeholders, Finance, Logistics, Media teams

Desirable skills/knowledge/experience:

Knowledge of data platforms (e.g. Snowflake, Azure Data Lake).

Understanding of monitoring, model performance tracking, and observability best practices.

Familiarity with orchestration tools like Airflow or Azure Data Factory.