Hybrid Senior Data Architect for AI Platforms

PA Consulting Group; West of England; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Health and lifestyle perks included

25 days annual leave (+ bonus half day

Generous pension scheme

Annual performance-based bonus

PA share ownership

Job summary

PA Consulting Group is seeking a Data Architect at a Principal Consultant level to drive data and AI transformations for clients. You will define data blueprints, architecture, and end-to-end data platforms across ingestion, orchestration, governance, security, cost optimization, and observability.

Expect client-facing roles, strategic leadership, and collaboration with AWS, Azure, GCP, Databricks, and Snowflake ecosystems.

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 awareness of AI impacts in solutions.
• Commitment to continuous improvement and professional development.
• You thrive in problem-solving and analytical thinking and enjoy collaborating with multiple stakeholders.

Responsibilities

• Operate at a strategic, leadership-focused level and own end-to-end delivery of complex client assignments.
• Lead teams, manage engagement delivery, and bid leadership to identify new opportunities.
• Mentor and connect newer team members, drive thought leadership, and promote best practices across the data/AI domain.
• Set direction for teams, foster an inclusive environment, and elevate client outcomes and capability.

Skills

Hands-on data

Leadership of teams

Data architecture

Problem solving

Collaboration

Tools

AWS

Azure

GCP

Databricks

Snowflake

Job description

PA Consulting Group is seeking a Data Architect at a Principal Consultant level to drive data and AI transformations for clients. You will define data blueprints, architecture, and end-to-end data platforms across ingestion, orchestration, governance, security, cost optimization, and observability.

Expect client-facing roles, strategic leadership, and collaboration with AWS, Azure, GCP, Databricks, and Snowflake ecosystems.