Lead Enterprise Data Architect

DLA Piper International LLP; Greater London; On-site; GBP 80,000 - 120,000; Full time

Benefits offered by this job

Flexible working hours

Professional development opportunities

Health and wellness programs

Job summary

DLA Piper International LLP is seeking an Enterprise Data Architect to define and evolve the enterprise data architecture that aligns with business strategy and a technology roadmap. The successful candidate will lead governance in data analytics, work directly with data and AI teams, and manage a small team of Data Architects. This position demands strong expertise in enterprise data architecture, data modelling, and product management, alongside experience with cloud technologies and data governance principles. A collaborative and forward-thinking approach is essential.

Qualifications

• Strong experience in enterprise data architecture and governance.
• Experience defining and implementing a data product operating model.
• Proven experience in data modelling and information design.
• People leadership experience with line management of architects.

Responsibilities

• Define and evolve the enterprise data architecture to support business strategy.
• Shape and embed a data product operating model in collaboration with teams.
• Lead architecture governance and design assurance for data solutions.
• Partner with delivery teams to turn strategy into outcomes.

Skills

Enterprise data architecture

Data product operating model

Data modelling

Data governance

Cloud data technologies

Agile methodologies

Education

Bachelor's or Master's Degree in a relevant field

Tools

Azure Databricks

Power BI

Microsoft Purview

Job description

DLA Piper International LLP is seeking an Enterprise Data Architect to define and evolve the enterprise data architecture that aligns with business strategy and a technology roadmap. The successful candidate will lead governance in data analytics, work directly with data and AI teams, and manage a small team of Data Architects. This position demands strong expertise in enterprise data architecture, data modelling, and product management, alongside experience with cloud technologies and data governance principles. A collaborative and forward-thinking approach is essential.