Director, Senior Information Architect

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Director, Senior Information Architect

$215,000-$265,0000

5 days/week onsite

Overview

A growing investment-oriented organisation is seeking a senior individual contributor to help shape and scale its enterprise data ecosystem. This role will provide architectural leadership across data management, engineering, governance, analytics, and AI initiatives. The successful candidate will define enterprise data standards, establish scalable architecture patterns, and ensure data platforms support future business growth while maintaining strong governance, security, and compliance practices. This is a highly collaborative role that requires the ability to bridge business strategy and technical execution while influencing senior stakeholders. This is not primarily a hands-on development position, but candidates should possess sufficient technical depth to evaluate architecture decisions, review data engineering approaches, assess code and pipeline quality, and establish best practices across the organisation.

Key Responsibilities

Define and evolve the enterprise data architecture strategy.

Design scalable approaches for data ingestion, integration, storage, and consumption.

Establish enterprise standards for data modelling, architecture governance, and platform design.

Lead architecture decisions related to modern cloud-based data platforms and lakehouse environments.

Develop governance frameworks covering data quality, metadata management, privacy, security, and regulatory compliance.

Design and scale metadata, cataloguing, and business data definition frameworks.

Create architectural standards for data pipelines, orchestration, and operational processes.

Partner with engineering, governance, and analytics teams to align platform capabilities with business priorities.

Support the implementation of AI, machine learning, and advanced analytics capabilities on top of enterprise data assets.

Guide large-scale data platform modernisation and migration initiatives.

Translate business requirements into pragmatic technical architecture solutions.

Serve as a senior technical advisor to stakeholders across the organisation.

Required Qualifications

Significant experience in enterprise data architecture and modern data platform design.

Strong expertise with Databricks or comparable cloud-native data platforms.

Deep understanding of dimensional modelling, including star schema design and Kimball methodologies.

Extensive experience with enterprise data governance frameworks and operating models.

Strong knowledge of data security, privacy, access controls, and regulatory considerations.

Experience designing scalable data management and analytics ecosystems.

Ability to develop architecture standards and best-practice frameworks.

Strong understanding of end-to-end data lifecycle management.

Demonstrated ability to influence senior stakeholders and operate independently.

Capable of partnering effectively with data engineers, architects, and business leaders.

Strong communication skills with the ability to translate complex technical concepts into business-focused recommendations.

Preferred Qualifications

Experience with Hadoop and broader Apache ecosystem technologies.

Background supporting large-scale enterprise data environments.

Experience implementing and governing Unity Catalog or similar enterprise metadata/catalog solutions.

Experience with medallion architecture patterns.

Exposure to AI/ML platform architecture, MLOps, and production analytics environments.

Experience leading enterprise data platform migrations or transformation programmes.

Consulting or advisory experience supporting long-term enterprise transformation initiatives.

Experience within highly regulated industries such as financial services, banking, insurance, asset management, or similar environments.

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