Key Facts

Remote From:

United Kingdom

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Systems Thinking
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Communication
•
Leadership

Roles & Responsibilities

5+ years of experience in a senior data architecture role with strong expertise in cloud data platforms (e.g., Databricks, lakehouse environments)
Proven experience designing and implementing enterprise-scale data models across multiple systems
Deep understanding of Salesforce data architecture and integration patterns
Experience with cloud ERP systems (e.g., Sage Intacct, NetSuite, Workday) and financial data models

Requirements:

Design Unified Data Models: Create conceptual, logical, and physical models that connect customer, product, and financial data across systems
Lead Lakehouse Architecture: Define and scale Databricks architecture (Bronze/Silver/Gold layers) to support analytics and AI/ML use cases
Drive Data Consistency Quality: Establish "golden record" standards, data governance, and proactive data quality frameworks
Enable Lead-to-Cash Visibility: Align CRM and ERP data to support accurate revenue recognition and end-to-end business insights

Job description

At Everway, our goal is to lead the world in Neurotechnology software, helping transform the way we understand and are understood.

We’re a global community of over 600 team members spanning seven countries, including the UK, USA, Norway, Denmark, Sweden, Australia, and New Zealand. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued. A world where everyone can thrive.

We can only achieve our goals and continue to grow by having high performing people in our team, people who share our goals and are passionate about our mission. We pride ourselves on our core values that are embedded within our culture. These are to be curious, have courage, and commit fully.

Join us at Everway - together, we can unlock the full potential of every mind.

About the role

The Senior Data Architect will design and scale our unified data ecosystem, transitioning from siloed systems to a modern Lakehouse architecture. This role will define the data models and architecture that connect Salesforce (CRM), Sage Intacct (ERP), and product telemetry into a high-performing Databricks environment, ensuring data is a strategic asset across the business.

This role is ideal for a systems thinker and data strategist who can connect complex data ecosystems and enable Everway to unlock the full value of its data.

Main responsibilities

Design Unified Data Models: Create conceptual, logical, and physical models that connect customer, product, and financial data across systems
Lead Lakehouse Architecture: Define and scale Databricks architecture (Bronze/Silver/Gold layers) to support analytics and AI/ML use cases
Drive Data Consistency & Quality: Establish “golden record” standards, data governance, and proactive data quality frameworks
Enable Lead-to-Cash Visibility: Align CRM and ERP data to support accurate revenue recognition and end-to-end business insights
Support M&A Integration: Develop scalable data onboarding patterns to integrate acquired company data efficiently
Power Business Insights: Enable use cases across Sales, Product, Support, and Finance through integrated, high-quality data
Modernize Data Practices: Implement data-as-code, CI/CD for data pipelines, and real-time/event-driven data architecture

Essential criteria

5+ years of experience in a senior data architecture role, with strong expertise in cloud data platforms (e.g., Databricks, lakehouse environments)
Proven experience designing and implementing enterprise-scale data models across multiple systems
Deep understanding of Salesforce data architecture and integration patterns
Experience working with cloud ERP systems (e.g., Sage Intacct, NetSuite, Workday) and financial data models
Strong proficiency in SQL, data modeling (ERD), and data transformation practices
Experience with data governance, data quality frameworks, and master data management
Experience in M&A environments, particularly data integration and migration strategies
Experience with Databricks Lakehouse architecture, including Unity Catalog and medallion design patterns
Ability to translate complex data concepts into clear business value for technical and non-technical stakeholders

Desirable criteria

Familiarity with AI/ML data readiness and supporting advanced analytics use cases
Exposure to event-driven architectures, APIs, and real-time data pipelines
Experience with data-as-code practices, including Git-based version control and CI/CD for data workflows
Knowledge of product analytics or SaaS telemetry data integration

Please submit your application on out website by Friday, 27th March 2026

Please note: applications may close early due to high demand, so early submission is encouraged.

Join our team and enjoy a competitive salary with bonus opportunities, flexible work schedules, and comprehensive health and wellness benefits. We offer flexible time off plans, career growth through development programs, and a collaborative, innovative culture where your ideas matter. Ready to make an impact? Apply today and be part of a company that invests in your success!

We are committed to providing a Drug-Free Workplace for all employees.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

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