Lead Data Architect

JR United Kingdom; Birmingham; Hybrid; GBP 60,000 - 100,000; Full time

Job description

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We are Jumar; we are award-winning digital specialists, delivering global IT projects. Our mission is to empower businesses through innovative technology that drives growth and enhances operational efficiency. Our teams of technology experts work with organisations to help them realise their digital goals, by providing project outcomes, teams and skills to complement their existing IT capability.

For over two decades, we have constantly adapted to the evolving digital landscape to offer a wide array of IT services across both public and private sectors. The services we offer include Cloud and Intelligent Automation, Legacy Modernisation, Software Engineering, Strategy and Consulting as well as Role Augmentation and Recruitment services.

Collaboration sits at the heart of our approach; we unite people from diverse backgrounds and empower them to deliver innovative solutions with our clients. Recently backed by a global private equity firm, we are on an exciting growth trajectory. This is truly an exciting time to join us on our journey.

We are seeking a Lead Data Architect to join our scaling architecture practice. The practice is built on the belief that architecture should be business driven and purposeful. You'll be joining a collaborative team, co-creating tools, supporting each other, providing governance, and building a community. The Lead Data Architect will act as a catalyst for innovation, spotting emerging client challenges and translating them into repeatable scalable data solutions.

This role can be completed in a hybrid way, spending 2 days a week in our Solihull, or Dudley offices, or with our UK based clients.

Key Responsibilities

1. Practice Development: Support the strategy and development of a Data and AI practice, ensuring alignment with business goals and market opportunities.
2. Team Development: You'll be growing the data team, focusing on continuous development and mentorship. You'll be leading by example, embedding agile, delivery-focused ways of working, while leading consultants across multiple engagements providing support, feedback, and quality assurance.
3. Sales & Pre-Sales Support: Partner with sales teams to articulate data architecture solutions to clients, support proposal development, and contribute to business growth.
4. Innovation & Strategy: Champion experimentation by developing proof-of-concepts that explore the use of novel data techniques, cloud tooling, and automation. You'll identify opportunities to productise internal accelerators or frameworks based on repeatable delivery challenges.
5. Client Engagement: Work closely with customers to understand their data challenges and propose tailored solutions.
6. Data Architecture & Design: Define and implement scalable data architectures, ensuring efficient data storage, integration, and retrieval.
7. Data Modelling & Analysis: Develop and optimise conceptual, logical, and physical data models to support various analytical and operational needs.
8. Data Migration & Integration: Lead complex data migration efforts, ensuring seamless transition and data integrity across systems.
9. Legacy Modernisation: Lead data transformation initiatives to modernise legacy systems, ensuring seamless migration to modern architectures while maintaining data integrity and optimising performance.
10. Technical Leadership: Provide guidance on best practices for data architecture, data engineering, and AI-driven solutions.
11. Governance & Compliance: Establish frameworks for data governance, security, and compliance across client engagements.
12. Stakeholder Collaboration: Work closely with internal teams, clients, and partners to deliver high-quality data solutions and thought leadership.
13. Performance Optimisation: Continuously refine and enhance data structures, processes, and strategies to improve efficiency and scalability.

Skills & Experience

• Proven experience as a Lead Data Architect with a track record of working in growing data practices.
• Expertise in data architecture, data modelling, data analysis, and data migration.
• Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse).
• Experience in ETL development, data pipeline automation, and data integration strategies.
• Familiarity with AI-driven analytics.
• Strong understanding of data governance, security, and regulatory compliance.
• Excellent communication skills, with the ability to bridge technical and business conversations.
• Ability to work collaboratively in a team environment and manage multiple client projects simultaneously.
• Presales and business development experience.
• Ability to communicate complex technical concepts to non-technical stakeholders.