ServiceNow Solution Architect

Smiths Detection Inc
Hemel Hempstead, United Kingdom
2 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 150K

Job location

Remote
Hemel Hempstead, United Kingdom

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Azure
Cloud Computing
Computer Security
Computer Programming
Data Architecture
Information Engineering
Data Governance
ETL
Data Transformation
Data Security
Data Sharing
Data Warehousing
DevOps
Dimensional Modeling
Identity and Access Management
Python
Machine Learning
Meta-Data Management
Microsoft Security Essentials
Microsoft Project
Performance Tuning
Power BI
DataOps
SAP Applications
SAP NetWeaver Business Warehouse
SharePoint
SQL Databases
Tableau
Cloud Platform System
Data Ingestion
Delivery Pipeline
Snowflake
Data Strategy
GIT
Information Technology
Amazon Web Services (AWS)
Data Analytics
Star Schema
Data Management
Cloudwatch
Data Pipelines
Mulesoft
ServiceNow

Job description

The role involves defining data platform architecture, governance standards, and scalable data transformation frameworks, while ensuring high performance, security, and cost efficiency. The architect will provide technical leadership to data engineering and analytics teams and ensure the platform supports enterprise reporting, advanced analytics, and AI/ML initiatives., * Define and lead the architecture and design of enterprise data platforms using Snowflake on AWS.

  • Architect scalable data ingestion frameworks for integrating multiple source systems into the cloud data platform.
  • Design and govern data transformation frameworks using DBT.
  • Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models.
  • Lead architecture reviews and solution design discussions for new data initiatives.
  • Optimize Snowflake performance, workload management, and cost governance.
  • Establish data governance frameworks including access control, data security, and compliance standards.
  • Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling.
  • Provide architectural guidance to data engineering, BI, and analytics teams.
  • Design architecture to support data consumption for reporting systems, operational applications, and analytics platforms.
  • Implement automation, orchestration, and scalable pipeline frameworks using tools such as Apache Airflow.
  • Collaborate with business stakeholders and technical teams to align the data platform with enterprise data strategy.
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Requirements

12+ years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, and Enterprise Analytics solutions, with strong expertise in modern cloud data architectures., The ideal candidate should also have exposure to AI/ML data platforms and experience in the hospitality domain, supporting systems such as reservations, guest management, and operational analytics., * Strong expertise in

  • Snowflake
  • Deep knowledge of Snowflake architecture, performance tuning, data sharing, security, and workload optimization.

Cloud Platform

Strong experience with Amazon Web Services, including:

  • S3
  • IAM
  • AWS Glue
  • Lambda
  • CloudWatch

Data Transformation

  • Strong experience with
  • DBT
  • for enterprise-scale data modelling, testing, and transformation pipelines.

Programming / Query

  • Strong expertise in SQL for data transformation and performance optimization
  • Python (preferred) for automation and data engineering tasks.

Data Engineering

  • Enterprise ETL / ELT pipeline architecture
  • Data warehousing and enterprise data modelling
  • Dimensional modelling (Star Schema, Snowflake Schema)
  • Data pipeline scalability and reliability design.

AI / Data Science Exposure

  • Experience supporting AI/ML data pipelines and data preparation for machine learning models.
  • Understanding of predictive analytics, recommendation engines, and customer behaviour analytics.
  • Ability to design AI-ready data platforms for future analytics use cases.

Preferred Skills

  • Experience with Apache Airflow for pipeline orchestration.
  • Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows.
  • Experience with data governance, metadata management, and enterprise data catalog tools.
  • Experience with BI tools such as
  • Tableau
  • Microsoft Power BI.
  • Domain experience in hospitality, travel, or hotel systems, including reservation systems, guest analytics, and operational reporting.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, or a related field. Similar jobs, A leading leisure company in the UK is seeking a Data Operations Manager. This role focuses on the reliability and efficiency of the data platform, including Snowflake and ELT pipelines. The ideal candidate will have extensive experience in data engineering, strong SQL..., AI Architect role is available for an individual with strong MuleSoft Agentic Fabric. Our client has been making good headway on their AI ambitions, but they want a proven AI Architect to own the technical roadmap for their AI Platform. Must have strong AI project...

Benefits & conditions

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About the company

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