Data Architect — Hybrid Cloud Data Platform Lead

Story Terrace Inc.; Manchester; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Health & Wellbeing– Private Healthcare

Discretionary Bonus

Generous Pension

Giving Back

Bike to Work Scheme

Family-Friendly Policies

Fertility Treatment Support

Time to Recharge– 25 days annual leave

Learning & Development

Refer & Earn

Job summary

Oakland is seeking a Data Architect to design innovative data solutions for a range of clients, spanning data platforms, governance, AI, and analytics. You will act as the technical lead in early engagements, shaping architectures and guiding the delivery of robust, scalable data platforms.

This hands-on, client-facing role involves translating business needs into models, working across Azure, AWS, and hybrid cloud, and collaborating with engineers, analysts, and stakeholders to deliver

Qualifications

• Ability to autonomously design and optimise data models.
• Experience designing cloud and hybrid data platforms.
• Strong data governance, data quality, lineage, and metadata practices.
• Advanced SQL skills and working with source data.

Responsibilities

• Design scalable data architectures across cloud and hybrid environments.
• Translate business requirements into data models.
• Define data platform strategies, patterns, and standards.
• Provide architectural guidance to delivery teams.
• Assess data quality and governance across systems.
• Assist pre-sales and contribute to internal data capability evolution.
• Communicate complex ideas to technical and non-technical audiences.

Skills

Data modeling

Cloud architecture

Data governance

SQL proficiency

Data platforms

CI/CD DevOps

Stakeholder communication

Tools

Azure Data Platform

Databricks

Snowflake

Hybrid/on-prem infra

Job description

Oakland is seeking a Data Architect to design innovative data solutions for a range of clients, spanning data platforms, governance, AI, and analytics. You will act as the technical lead in early engagements, shaping architectures and guiding the delivery of robust, scalable data platforms.

This hands-on, client-facing role involves translating business needs into models, working across Azure, AWS, and hybrid cloud, and collaborating with engineers, analysts, and stakeholders to deliver