Hybrid Data Solutions Lead: Cloud Architecture & AI Enablement

Standard Life plc; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Private medical cover

38 days annual leave

Excellent pension

12x salary life assurance

Career breaks

Income protection

3x volunteering days

Job summary

Standard Life plc in the United Kingdom is seeking a Data Solutions Lead to guide data architecture and cloud data platforms during a major transformation. You will own end-to-end data solution designs across ingestion, transformation, and data models, leveraging Databricks, Azure and AWS.

Collaboration with solution architects, data engineers and analysts is key, and you will communicate complex solutions to non-technical audiences while delivering governance and scalable data products.

Qualifications

• Experience in data architecture, including conceptual, logical and physical modelling (3NF, Data Vault).
• Design and delivery of cloud data platform solutions with data warehouses, data lakes and lakehouse patterns.
• Excellent documentation and ability to present to senior stakeholders and non-technical audiences.
• Experience creating data product architectures and data ownership frameworks.
• Experience in regulated environments with governance and risk-management requirements.

Responsibilities

• Lead end-to-end design of data solutions including ingestion, transformation and data models.
• Collaborate with solution architects, data engineers and analysts to ensure seamless integration of data, AI and analytics capabilities.
• Present complex solutions to non-technical audiences and senior stakeholders.

Skills

Data architecture

Data modelling

Databricks

Azure

AWS

Data Warehouses

Data Lakes

ETL/ELT

Documentation

Stakeholder communication

AI/ML analytics

Data products

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Azure

AWS

Job description

Standard Life plc in the United Kingdom is seeking a Data Solutions Lead to guide data architecture and cloud data platforms during a major transformation. You will own end-to-end data solution designs across ingestion, transformation, and data models, leveraging Databricks, Azure and AWS.

Collaboration with solution architects, data engineers and analysts is key, and you will communicate complex solutions to non-technical audiences while delivering governance and scalable data products.