Senior Data Solutions Architect - Hybrid/Remote

Transform; Manchester; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Holiday entitlement: 28 days + buy/ses

Birthday off

Pension eligibility: up to 5% matched

Life assurance

Enhanced parental leave

Cycle to work

Flexible benefits package

Job summary

Transform is seeking a Senior/Lead Data Solutions Architect to lead data architecture across client projects, delivering data models, data lakes, and CDPs to power marketing and sales activations. Hybrid/remote with travel to office sites.

You'll bridge Enterprise Architecture and Data Engineering, defining standards, guiding teams, and ensuring data quality across CRM, HR, and research data sources, using Azure, AWS, GCP, Databricks and other tools.

Qualifications

• Experience designing data architectures and data models.

Responsibilities

• Design data architecture and modelling guidelines for projects.
• Scope and define enterprise data management solutions.
• Collaborate with clients to translate needs into tech solutions.
• Advance data architecture thinking and best practices.
• Manage quality and resource planning across projects.
• Work with CRM, sales, research, and HR data sources.
• Build single customer views or data warehouses/CDPs.

Skills

Data architecture

Data modelling

Data governance

Team leadership

Agile methodology

SQL & NoSQL

Cloud platforms

Stakeholder engagement

Analytical thinking

Data warehousing

Education

Bachelor's degree in a relevant field

Tools

Azure

AWS

GCP

Databricks

Azure Data Factory

SQL Server

PostgreSQL

Snowflake

Python

PySpark

Job description

Transform is seeking a Senior/Lead Data Solutions Architect to lead data architecture across client projects, delivering data models, data lakes, and CDPs to power marketing and sales activations. Hybrid/remote with travel to office sites.

You'll bridge Enterprise Architecture and Data Engineering, defining standards, guiding teams, and ensuring data quality across CRM, HR, and research data sources, using Azure, AWS, GCP, Databricks and other tools.