Urgent Requirement -Data Architect position (London, UK)

Overview

At ADROSONIC, we're passionate about leveraging technology to empower people. From our employees to our customers and their patrons, we prioritize success and growth for everyone.Our global organization spans Mumbai, Pune, Lucknow, London, Denver, Santiago, and Sao Paulo. We specialize Quality Engineering, Intelligent Automation, Data & Analytics, Enterprise Platforms (CRM and low code), Application Engineering, and Digital Transformation, delivered through a people-centric, innovation-led culture.

Job Overview

We are seeking an experienced Data Architect to play a pivotal role in establishing and strengthening the organisation’s enterprise-wide data architecture. This role is programme-focused and will initially support a major transformation initiative, with a strong emphasis on defining the Data Architecture blueprint and Data Target Operating Model (TOM).

The Data Architect will be responsible for setting clear architectural direction, ensuring data consistency, scalability, security, and alignment with long-term business objectives. The role requires close collaboration with senior architecture leadership, data teams, programme delivery partners, and business subject matter experts across Finance, HR, and other enterprise functions.

This position is critical to ensuring that data architecture decisions support transformation outcomes while remaining aligned with broader organisational strategies, including enterprise architecture principles, data strategy, information security standards, and technology roadmaps.

While the role is initially scoped for a defined period, there is a strong possibility of extension into the mid-term, allowing the incumbent to further build on the data architecture foundations and support ongoing enterprise transformation and optimisation.

Key Responsibilities

Enterprise Data Architecture

·Define and maintain the enterprise data architecture blueprint , including conceptual, logical, and physical data models.

· Establish data architecture standards, principles, and patterns to ensure consistency, scalability, and reuse across the organisation.

· Ensure data architecture supports both current transformation initiatives and long-term enterprise objectives.

Data Target Operating Model (TOM)·

Design and implement the Data Target Operating Model, covering:

o Data ownership and stewardship

o Data governance and quality management

o Data lifecycle management

o Integration and interoperability

· Work with business and technology teams to embed the TOM into operating practices.

Programme & Transformation Support

• Provide data architecture leadership for large-scale transformation programmes.
• Work closely with programme delivery teams and system integrators to ensure:

o Data design aligns with architectural standards

o Integration approaches are scalable and secure

o Data migration and transition strategies are robust and auditable

· Support phased delivery while maintaining architectural integrity.

St akeholder Collaboration

· Partner with:

o Head of Architecture

o Head of Dat a

o Data Engineering and Analytics teams

o Business SMEs (Finance, HR, Operations, etc.)

o Programme and delivery partners

· Translate business requirements into clear, pragmatic data architecture solutions.

· Act as a trusted advisor on data-related decisions.

Govern a nce, Security & Compli a nce

· Ensure data architecture aligns with:

o Enterprise Architecture principles

o Data Strategy

o Information Security Strategy

o Privacy and regulatory requirements

· Collaborate with InfoSec and Risk teams to embed security-by-design and privacy-by-design principles.

· Support audit readiness and compliance requirements through clear documentation and controls.

Documents & St andard

· Create and maintain:

o Data architecture artefacts

o Reference architectures

o Design standards and guidelines

· Ensure documentation is clear, current, and consumable by both technical and non-technical stakeholders.

Continuous Improvement

· Identify opportunities to simplify, modernise, and optimise the data landscape.

· Evaluate emerging data technologies and architectural approaches where relevant.

· Support the evolution of enterprise data maturity over time.

Delivery & Execution

· Experience supporting large-scale transformation programmes

· Pragmatic mindset—balancing ideal architecture with delivery realities

. Strong documentation and design communication skills

Competencies & Behaviours

Communication & Relationships

• Demonstrates excellent verbal and written communication, including presentations.
• Listens actively while influencing and persuading effectively.
• Builds strong relationships with stakeholders across both business and technology functions.

Problem Solving & Analytical Thinking

• Proven success in solving complex problems within specialist fields.
• Applies a pragmatic and practical approach to challenges.

Discipline, Resourcefulness & Adaptability

• Quickly adapts to project environments already in progress.
• Maintains strong attention to detail in all tasks.

Creativity & Innovation

• Thrives in fast-paced and changing environments.
• Shows independent thought and initiative.
• Maintains a proactive approach to work and problem-solving.

Skills and Experience:

• A degree in business administration, computer or data science, or related field, is preferred.

• Data Architecture Knowledge & Experience – with enterprise focus and exposure to governance frameworks & processes

• A strong understanding of Finance & HCM domains

• An understanding of the London Market Specialty Insurance including distribution channels and the roles of different participants is preferred. Ideally on the broking side.

• Proven data literacy - able to translate and describe use cases, data sources and analytical approaches between executive, business and IT stakeholders.

• Good knowledge of data technologies and ongoing developments in data technology

• Enteprise Data Platform/Data Lake/Warehouse Knowledge & Experience – ideally Snowflake

• Integration Knowledge & Experience – ideally MuleSoft

• Finance & HCM Systems/Platform Knowledge & Experience – ideally Workday (& Kyriba).

Reference Links

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