Data Platform Tech Lead – Hybrid, Cloud & GenAI

Consultancy.uk; Greater London; Hybrid; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Health and lifestyle perks

25 days annual leave

Generous pension scheme

Community involvement initiatives

Annual performance-based bonus

PA share ownership

Tax efficient benefits

Job summary

PA Consulting in London is seeking a Data Platform Tech Lead to design and deliver scalable data platforms, guiding engineering teams across analytics, AI and enterprise workloads. You will mentor engineers, drive best practices in CI/CD and infrastructure-as-code, and collaborate with clients to accelerate digital transformations in a hybrid, office-plus-client-site model.

Applicants should have proven leadership in data engineering, modern data architectures and strong communication with

Qualifications

• Led data engineering or data platform teams.
• Designed scalable, reliable data platforms in enterprise settings.
• Applied strong software engineering practices to data platforms (testing, CI/CD, IaC).

Responsibilities

• Steer technical teams through complex challenges and guide clients toward successful digital transformations.
• Provide mentorship to engineers and create an environment of continuous improvement.
• Lead GenAI adoption across engineering delivery with proper guardrails and governance.
• Collaborate with cross-functional teams and senior stakeholders to shape solutions.

Skills

Data platform leadership

Data engineering

Architectural decisions

CI/CD

Observability

GenAI in engineering

Stakeholder comms

Ambiguity tolerance

Security governance

Team mentoring

Tools

Terraform

CloudFormation

Azure Bicep

Infrastructure as Code

GitHub Actions

Azure DevOps

Jenkins

Databricks

Snowflake

Airflow

Kafka

Job description

PA Consulting in London is seeking a Data Platform Tech Lead to design and deliver scalable data platforms, guiding engineering teams across analytics, AI and enterprise workloads. You will mentor engineers, drive best practices in CI/CD and infrastructure-as-code, and collaborate with clients to accelerate digital transformations in a hybrid, office-plus-client-site model.

Applicants should have proven leadership in data engineering, modern data architectures and strong communication with