Customer Data Solutions Architect - AWS & Snowflake

Avance Consulting; England; On-site; GBP 90,000 - 120,000; Full time

Job summary

Avance Consulting is seeking a senior data architect to design practical solutions across the Customer Decisioning domain within marketing data ecosystems.

You will bridge domain and data architects, evaluate third-party solutions, and propose infrastructure on AWS and Snowflake with Azure exposure as needed. Collaboration with product, marketing, and analytics teams is essential to deliver enterprise-grade data platforms.

Qualifications

• Knowledge of customer data and marketing data systems.
• Understanding GDPR implications for customer data solutions.
• Familiar with master data management, CRM and CDP concepts.
• Experience with ETL processes and real-time data paradigms.

Responsibilities

• Analyse current third-party marketing data solutions and design internal alternatives.
• Evaluate integration options including APIs, data schemas, file layouts and table structures.
• Collaborate with domain and data architects to ensure alignment with strategy.
• Propose infrastructure solutions on AWS and Snowflake, with Azure exposure as needed.
• Engage with stakeholders to gather requirements and validate designs.
• Produce solution designs and documentation for engineering teams.
• Serve as a technical leader and mentor data engineers.
• Partner with data scientists to deploy models on Snowflake and AWS.
• Align AI solutions with enterprise strategy through product and business stakeholders.

Skills

Strong stakeholder management

Communication skills

Data architecture understanding

Adaptability

Tools

Snowflake

AWS

Azure

Kafka

Airflow

Job description

Avance Consulting is seeking a senior data architect to design practical solutions across the Customer Decisioning domain within marketing data ecosystems.

You will bridge domain and data architects, evaluate third-party solutions, and propose infrastructure on AWS and Snowflake with Azure exposure as needed. Collaboration with product, marketing, and analytics teams is essential to deliver enterprise-grade data platforms.