Architect (Data Platform) Job at Morson Talent (Manchester)

Cloud Data Platform Architect

Circle K is transforming our Data Engineering and BI platform to match our busin...

Location

United States of America , Charlotte

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

7+ years of professional experience in designing & architecting Data & Analytics solutions, with a focus on Azure-based platforms and enterprise-scale systems
Working experience in designing and architecting solutions that leverage Databricks and Snowflake
Hands-on experience with Azure Cloud services (Azure Synapse/SQL Server, ADF or close equivalents)
Working experience with Microsoft Power BI (Power BI Platform, AAS/Tabular) integration with Azure-based Platforms
Expert understanding of relational databases, Data Warehouse & Data Lake modeling techniques & concepts, ETL/ELT processing patterns, and Big Data technologies
Practical experience in designing systems to handle large data volumes
Practical experience in designing systems for large-scale data processing with a focus on Azure performance optimization and cost management
Working knowledge of Python, PySpark, SQL & T-SQL
Working experience in designing and architecting solutions that comply with data security industry standards and regulations, including RBAC, data encryption (GDPR, PCI, etc.), and monitoring
Microsoft Azure Certification required

Job Responsibility

Designing, building, and maintaining robust data platforms and solutions on Azure
Optimizing data delivery and ensuring the architecture aligns with business objectives
Leading architectural decisions and establishing governance standards
Collaborating across teams to ensure seamless data flows and scalable solutions
Driving the adoption and usage of Azure Databricks, Snowflake, Microsoft Fabric, and Power BI in the data platform
Performing architectural assessments and defining solutions to produce detailed design documents
Providing technical direction on Azure platform services
Mentoring Data Engineering and Data Science teams
Providing technical support for platform performance tuning and optimization activities
Participating in the creation and maintenance of technical roadmaps

Fulltime

IT Data Platform Architect

As an IT Data Platform Architect, you will be instrumental in designing and impl...

Location

United States , Charlotte

Salary:

Not provided

Brightspeed

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
8+ years of relevant experience in data platform architecture
Experience with containerization technologies
Demonstrated ability in building and managing data platforms with integrated AI/ML capabilities
Strong knowledge and experience in GCP, with familiarity in other cloud platforms
Have extensive experience in data architecture, especially in supporting AI/ML applications
Demonstrate expertise in infrastructure as code, CI/CD practices, and troubleshooting across various technical domains
Show strong ability in handling streaming data applications
Can effectively communicate technical concepts to diverse audiences
Are a proactive problem-solver with a keen eye for improving system architectures

Job Responsibility

Develop a high-performance data architecture to support large-scale data processing and AI/ML analytics
Lead effort to implement infrastructure as code using tools like Terraform and Ansible to automate the deployment of both infrastructure and applications
Design CI/CD integrations using GitHub, GitHub Actions, Jenkins, ensuring smooth deployment on GCP
Create, update, and maintain comprehensive documentation, including procedural/process guides and infrastructure topology diagrams
Stay updated with technological advancements, advocating for and implementing necessary changes and updates to our systems
Proactively identify improvement areas in infrastructure architecture and develop plans for enhancements
Work with streaming data applications, ensuring robust data flow and integration
Possess knowledge of containerization technologies and orchestration tools to manage and scale applications effectively
Build reusable code, components, and services, focusing on versioning, reconciliation, and robust exception handling
Communicate complex technical concepts effectively to both technical and non-technical stakeholders

What we offer

competitive medical, dental, vision, and life insurance
employee assistance program
401K plan with company match
host of voluntary benefits

Fulltime

Data Platform Architect

We are seeking a Data Platform Architect to join our Data Platform team. This ro...

Location

United States , San Francisco

Salary:

253500.00 - 380500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ in a senior or architect role
Proven expertise with modern cloud-native data stacks including Snowflake, Databricks, MDM, Data Catalogs and CDPs
Hands-on experience with Looker or other BI/semantic modeling tools
Strong understanding of graph-based data models, recommendation systems, and personalization architectures
Expertise in data modeling, metadata management, and semantic layers
Proficiency with streaming/event-driven data pipelines and real-time processing (Kafka, Pub/Sub, Spark Streaming, etc.)
Familiarity with AI/ML pipelines, feature stores, and unstructured/structured data integration
Strong foundation in data governance, lineage, cataloging, and compliance frameworks
Excellent communication and leadership skills to align technical direction across diverse teams

Job Responsibility

Modernize, optimize and evolve a cloud-native data stack into a scalable, secure and high performing ecosystem such as SQL & NoSQL repositories for diverse workloads
Leverage modern data platform principles including lakehouse, data fabric and data mesh architectures to improve scalability, decentralization, governance, and interoperability
Design Scalable Architectures: Build flexible architectures to support analytics, real-time reporting, AI/ML Ops pipelines, feature stores, and graph-based data relationships
Unified Data Platform: Design high performing and cost effective solutions that handle both structured and unstructured data at high volume and high velocity
Establish Modeling Standards: Define enterprise-wide standards for data modeling, semantic layers, and golden datasets to enable consistency and reuse
Advance Governance & Quality: Implement frameworks for data lineage, quality, privacy, and security (GDPR, CCPA, PII protections)
Enable Personalization & Insights: Architect data capabilities that fuel advanced recommendations, relationship mapping, and connected user experiences
Evaluate & Integrate Technologies: Guide adoption of best-fit technologies to support evolving use cases in data science, AI, and scalable analytics
Partner Cross-Functionally: Collaborate with engineering, product, analytics, and data science teams to translate business vision into technical solutions
Mentor & Lead: Provide architectural leadership, coaching engineers on best practices while influencing strategic platform decisions

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program
equity

Fulltime

Data Intelligence Data Architect

We are seeking a visionary Data Architect to lead the design, governance, and op...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

8+ years in data architecture, data engineering, or enterprise data management
Strong experience in data integration architecture across complex systems
Expertise in data modeling (conceptual, logical, physical) and database technologies
Strong knowledge of cloud data platforms (AWS, Azure, GCP) and integration tools
Familiarity with data governance frameworks and regulatory compliance
Proficiency in SQL and Python for building data pipelines, performing data transformations, and implementing automation tasks

Job Responsibility

Develop and maintain the enterprise data architecture blueprint aligned with business strategy and AI product roadmaps
Define enterprise-wide data models, taxonomies, and standards for consistent data usage
Collaborate with business stakeholders to identify data-driven revenue opportunities including APIs, data products, and new service offerings
Design and oversee data integration solutions (ETL/ELT, APIs, streaming, event-driven architecture) across applications, platforms, and business units
Enable real-time and batch data flows to support operational and analytical systems
Ensure data accessibility across business units and external partners while adhering to data sovereignty and compliance laws
Implement data governance policies covering metadata management, data lineage, access control, and retention
Define data quality metrics and oversee data cleansing and validation initiatives
Define data stewardship roles and accountability structures
Select, implement, and manage enterprise data platforms (data lakes, API gateways, event streaming platforms)

Fulltime

Data Cloud Platform Architect

Ivy Partners is a Swiss consulting firm that supports businesses in their strate...

Location

Portugal , Porto

Salary:

Not provided

IVY Partners

Expiration Date

Until further notice

Requirements

Deep expertise in AWS data services like Lambda, Glue, Step Functions, and Redshift
Exposure to Azure data services
Extensive experience with Infrastructure as Code (IaC) using Terraform and CloudFormation
Ability to define and enforce data governance and security standards
Experience leading large-scale data migration and optimization projects
Strong programming skills in Python and SQL, with a history of prototyping and setting coding standards
Experience with Iceberg tables and managing large datasets efficiently
Proficiency in designing scalable and efficient data solutions on AWS, following best practices for cloud architecture and infrastructure
Experience with orchestration tools such as Apache Airflow and AWS Step Functions
Knowledge of ETL tools and experience working with large volumes of data, preferably with Kafka

Job Responsibility

Utilize deep expertise in AWS data services while also engaging with Azure data services
Lead in the implementation and enforcement of data governance and security standards across cloud platforms
Manage Infrastructure as Code (IaC) solutions using tools like Terraform and CloudFormation
Spearhead optimization projects to ensure minimal disruption and maximum efficiency
Apply strong coding skills in Python and SQL to prototype solutions and establish coding standards
Develop robust solution architectures focusing on scalability, performance, security, and cost optimization
Design efficient data models and optimize query performance for handling large datasets
Oversee ETL processes and manage data integration into systems like Redshift, DuckDB, and PostgreSQL
Set up and manage AWS logging and tracing mechanisms using CloudTrail and X-Ray
Implement orchestration solutions using Apache Airflow and AWS Step Functions

What we offer

Supportive environment where everyone is valued
Training opportunities
Chance for growth in Switzerland and internationally
Trust-based work culture based on transparency, professionalism, and commitment
Encouragement of innovation
Collective action striving to make a positive impact

Fulltime

Data Architect

Delivery Centric is seeking a highly skilled Data Architect to design cloud-read...

Location

Australia , Sydney

Salary:

Not provided

Delivery Centric Technologies

Expiration Date

Until further notice

Requirements

Proven experience in data architecture, data modelling, and enterprise data platform design
Strong expertise in SQL, NoSQL, data warehousing, and major cloud platforms (Azure, AWS, GCP)
Hands-on experience with ETL/ELT tooling and big data technologies (Spark, Hadoop)
Experience building data pipelines and event-driven workflows
Certifications ideal for this role: Azure Data Engineer, AWS Developer, Databricks Data Engineer
Exposure to AI/ML environments and advanced analytical use cases
Strong analytical and problem-solving capabilities with excellent stakeholder engagement skills

Job Responsibility

Design scalable, secure, and high-performing data architectures aligned to business objectives
Develop conceptual, logical, and physical data models for enterprise data platforms
Drive data governance practices, ensuring compliance, quality, and security across all data assets
Lead integration initiatives and build reliable data pipelines across cloud and on-prem ecosystems
Optimize existing data platforms, improving performance, scalability, and operational efficiency
Collaborate with business stakeholders to translate requirements into technical solutions
Maintain architecture documentation, standards, data dictionaries, and solution diagrams
Support big data, analytics, and AI/ML initiatives through scalable data foundations

Fulltime

Enterprise Data Architect

The Enterprise Data Architect (EDA) is responsible for defining and advancing th...

Location

United States , San Mateo

Salary:

200000.00 - 275000.00 USD / Year

Verkada

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
10+ years of experience in data architecture, data engineering, or enterprise systems integration
Proven track record in designing enterprise-level data architectures in complex, multi-system environments
Expertise in data modeling, MDM, Meta Data, and data governance frameworks
Experience with cloud-based data platforms (AWS, Azure, GCP) and modern data stacks (e.g., Redshift, BigQuery, Snowflake)
Experience with integration platforms (ETL/ELT, APIs, event streaming, middleware)
Knowledge of data security (tokenization, encryption, access controls) and compliance frameworks
Strong ability to influence cross-functional stakeholders and drive consensus across departments
Excellent communication skills, capable of presenting complex data concepts to both technical and non-technical audiences
Strategic thinker with the ability to balance long-term architecture vision with short-term delivery needs

Job Responsibility

Define and own the enterprise data strategy in alignment with corporate goals
Design and maintain comprehensive data architecture spanning ERP, HRIS, CRM, ATS, Finance, and other core business systems
Ensure the architecture supports scalability, performance, and resilience as the company grows
Lead initiatives to break down data silos and establish trusted, unified sources of truth across the organization
Champion a company-wide data governance framework
Facilitate Regular Meetings
Drive Cross-Functional Collaboration
Identify & Track Data Gaps
Coordinate Remediation Efforts
Implement Monitoring & Alerts

Fulltime

Data Architect

As a Data and Technical Architect for Salesforce Data Cloud at Horizontal Digita...

Location

India , Jaipur

Salary:

Not provided

Horizontal Digital

Expiration Date

Until further notice

Requirements

7+ years of client-facing consulting/professional services experience delivering enterprise-grade data solutions
3+ years of experience implementing Salesforce Data Cloud or equivalent Customer Data Platforms (e.g., Adobe AEP, Segment, Tealium, Arm Treasure Data, BlueShift)
Strong background in data architecture, data modeling, ETL/ELT pipelines, data integration, and API-driven solutions
Certifications in Salesforce Data Cloud and a solid understanding of the Salesforce ecosystem (Sales Cloud, Service Cloud, Marketing Cloud)
Experience implementing data governance, data security, and regulatory compliance (e.g., GDPR, CCPA) frameworks
Expertise in identity resolution, subscriber management, and harmonizing data across systems to enable a single customer view
Demonstrated success in facilitating technical workshops, delivering solution documentation, and leading cross-functional technical teams
Strong analytical and problem-solving skills with expertise in agile delivery methodologies and complex solution lifecycles
Excellent written and verbal communication skills for engaging with technical and non-technical stakeholders alike
Industry experience in one or more of the following: Financial Services, Health and Life Sciences, Manufacturing, Retail, or Hospitality

Job Responsibility

Facilitate and lead technical discovery workshops to document detailed data architecture, integration requirements, and data ingestion strategies
Synthesize complex requirements to create clear and comprehensive technical solution designs and collaborate with technical teams to document and implement them
Assess current-state data ecosystems, contact/subscriber management, and identity resolution processes, while defining the future-state architecture and performing gap analysis across data, platform and technology
Lead the refinement, design, and configuration of complex data models, ensuring alignment with business processes, scalability, and Salesforce Data Cloud best practices
Collaborate with cross-functional data teams to design and implement data integration and migration strategies leveraging ETL tools, APIs, and middleware solutions
Guide and oversee the execution of user acceptance testing (UAT), ensuring the delivery of solutions that meet client expectations and quality standards
Serve as the primary technical point of contact for client stakeholders, providing enablement training on Salesforce Data Cloud and driving adoption across their teams
Advocate for data governance best practices, including data privacy, quality assurance, and regulatory compliance frameworks
Collaborate with Sales, Go-to-Market, and professional services teams in pre-sales activities, including scoping, solution estimation, and proposal development
Contribute to internal growth by developing thought leadership, building best practices, delivering training, and mentoring teams to scale Data Cloud expertise across the organization

Architect (Data Platform)

Morson Talent

Location:
United Kingdom , Manchester

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 06, 2026

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Job Posted:
January 06, 2026