Senior Data Architect - AI & Cloud Data Platforms

PA Consulting Group; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Private healthcare

25 days annual leave + Christmas Eve

Generous pension scheme

Annual performance-based bonus

PA share ownership

Tax efficient benefits

Job summary

PA Consulting Group is seeking a Principal Data Architect within the Digital & Data division. You will define data blueprints, architect end-to-end data platforms across ingestion, orchestration, governance and observability, and translate business needs into scalable data solutions for clients.

You’ll work with multi-cloud data warehouses and data lakes, leading engineering teams and collaborating with stakeholders to deliver high-impact digital transformations.

Qualifications

• Hands-on data background with experience leading engineering teams to deliver applications and services.
• Clear understanding and practical application of data architecture and delivery methodologies.
• Operate confidently across the data domain with clear understanding of AI impact in solutions.
• Commitment to continuous improvement and professional development.
• Thrives in problem-solving and analytical thinking.
• Enjoys collaboration with multiple stakeholders in a fast-paced environment.

Responsibilities

• Operate at a strategic and leadership-focused level in client engagements.
• Lead teams and take ownership of end-to-end delivery on complex programmes.
• Drive bid leadership and identify new opportunities for growth.
• Develop and share thought leadership; promote best practices within the team.

Skills

Hands-on data engineering

Data architecture

AI/ML awareness

Leadership experience

Problem solving

Cross-functional collaboration

Tools

AWS

Azure

GCP

Databricks

Snowflake

Job description

PA Consulting Group is seeking a Principal Data Architect within the Digital & Data division. You will define data blueprints, architect end-to-end data platforms across ingestion, orchestration, governance and observability, and translate business needs into scalable data solutions for clients.

You’ll work with multi-cloud data warehouses and data lakes, leading engineering teams and collaborating with stakeholders to deliver high-impact digital transformations.