Data Architect

Harnham; London; On-site; GBP 101,475 - 110,700; Full time

Job summary

A leading UK organization is seeking a Senior Data Architect to support the migration of Finance and HR divisions to Workday. The role involves designing scalable data architecture solutions and ensuring data integrity, security, and governance. Candidates should have extensive experience in enterprise-scale data architectures and proficiency in SQL and Python. This is a full-time position with a pay range of £550 - £600 per day.

Qualifications

• Extensive experience designing and implementing enterprise-scale data architectures.
• Proficiency in data integration and ETL processes.
• Strong knowledge of data governance, security, and compliance frameworks.
• Experience with Workday product and data integrations.

Responsibilities

• Design and implement scalable data architecture solutions.
• Support the migration of Finance and HR data to Workday.
• Establish and enforce data governance and quality standards.
• Drive data architecture evolution for advanced analytics.

Skills

Data architecture design

Data integration

SQL

Python

Data governance

Cloud architecture

Master Data Management

BI tools

Advanced analytics

Education

Master's degree or DAMA certification

Tools

Workday

Power BI

AWS

Azure

GCP

Job description

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Base pay range

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Building Data Engineering contract teams across the UK │The Talent Driving the Data and AI Revolution

DATA ARCHITECT

£550 - £600 per day

6 - months

We are representing a leading UK organisation recognised for its large-scale operations, strong public profile, and commitment to digital transformation. The organisation is undergoing a significant modernisation programme, with investment in technology, data, and cloud platforms to drive efficiency, transparency, and innovation across all business functions. With an emphasis on collaboration, inclusion, and continuous improvement, this organisation is seeking top-tier talent to help shape its future.

Role Overview & Responsibilities
Our client is seeking an experienced Senior Data Architect to play a pivotal role in the migration of Finance and HR divisions onto Workday. This contractor will be instrumental in shaping the organisation's data strategy, building scalable architecture solutions, and ensuring data integrity, security, and governance.

Key responsibilities include:

Designing and implementing scalable data architecture solutions aligned with business and industry standards.

Supporting the migration of Finance and HR data and systems into Workday.

Managing critical data elements in Purview Data Catalogue and ensuring effective usage across the business.

Establishing and enforcing data governance, quality, and security standards.

Developing a data operating model for BAU and ongoing product adoption.

Driving data architecture evolution to support advanced analytics and AI over the next four years.

Collaborating with cross-functional stakeholders to translate business requirements into data solutions.

Providing technical leadership and mentorship to data architects, engineers, and analysts.

Staying up to date with new technologies, and recommending improvements to architecture practices.

Technical Skills & Experience

Must-have:

Extensive experience designing and implementing enterprise-scale data architectures

Proficiency in data integration and ETL processes.

Advanced skills in SQL, Python, or equivalent programming languages.

Strong knowledge of data governance, data security, and compliance frameworks.

Expertise in Master & Reference Data Management and Data Quality best practices.

Cloud-based architecture experience (AWS, Azure, or GCP).

Experience implementing data management frameworks and operating models.

Master's degree or DAMA certification (CDMP).Proven expertise with Workday product and data integrations.

Familiarity with observability tools, BI platforms (Power BI), or Agile methods.

Knowledge of advanced analytics, data science, or NLP techniques.

Soft Skills

Strong stakeholder management and communication skills, able to bridge technical and non-technical conversations.

Excellent problem-solving, attention to detail, and documentation skills.

Proven leadership with the ability to mentor and guide teams.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Data Infrastructure and Analytics

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