4 of 4 Remote/Hybrid Integration Patterns Jobs in West Sussex

Solution Data Architect

Location
Horsham, England, United Kingdom
Make An Impact By Designing and delivering high-quality solution data architectures aligned to enterprise standards Developing and maintaining solution data models, dictionaries and integration designs Supporting canonical data exchange across strategic systems Acting as the project-level data architecture lead, providing trusted guidance to stakeholders Embedding data governance … Data Protection by Design principles Contributing to the continuous improvement of data architecture practices and patterns Your Skills And Experience Advanced data modelling and architectural design skills Hands-on experience with data modelling tools is essential. Erwin would be highly beneficial Excellent understanding of data integration patterns ...

Solution Data Architect — Hybrid, Azure & Data Governance

Location
Horsham, England, United Kingdom
partner with enterprise architects, the Chief Data Office and business stakeholders to deliver trusted data solutions. You will lead data modelling, governance and integration patterns across complex programmes, ensuring compliance with DP by design and enterprise standards, while promoting data excellence and measurable impact. #J-18808-Ljbffr ...

Enterprise Data Architect

Hiring Organisation
Randstad Digital
Location
Burgess Hill, West Sussex, South East, United Kingdom
Employment Type
Permanent
Salary
£85,000
Physical models). Build scalable, high-performance database solutions across both RDBMS (Oracle, PostgreSQL) and NoSQL platforms (Cassandra, YugabyteDB). Define data standards, integration patterns, and governance principles for complex financial systems. Collaborate with business stakeholders, engineering leads, and cross-functional teams to align data strategy with business ...

Lead Data Engineer

Hiring Organisation
Capgemini
Location
West Sussex, United Kingdom
Employment Type
Full Time
Salary
40 to 70 USD Hourly
with experience mentoring, coaching, recruiting or developing engineers and helping teams work as part of a wider engineering community. • Deep data engineering knowledge across integration, transformation, orchestration, modelling, quality, observability, performance, security and operational support. • Credibility across modern data platforms and cloud technologies, alongside the pragmatism needed to work … large enterprise and legacy environments. • Experience setting, governing and improving engineering standards, quality controls, reusable patterns and delivery processes. • Strong stakeholder management, with the ability to explain complex technical issues clearly and build trust with senior clients and internal leaders. • Commercial awareness, including the ability to make engineering decisions ...