Data Architect

Harnham
9 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 156K

Job location

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Data Architecture
Data Governance
Data Integration
ETL
Data Security
Data Systems
Python
Power BI
SQL Databases
Consumer Database Management System
Data Management
Workday
Programming Languages

Job description

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.

Requirements

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. * Experience across different database architectures (Lakehouse, Relational, Document Store). * 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.

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