Job Description

Required Experience & Skills

Strong experience designing enterprise data architectures. Deep understanding of modern data stacks and API?led integration. Competency in data modelling, ETL/ELT patterns, and distributed processing. Knowledge of data privacy and security best practices. Experience conducting stakeholder discovery and capability assessments.

Ideal Background

8+ years in data strategy, architecture, or data platform consulting. Experience with environments integrating multiple third?party and open data sources. Exposure to organizations preparing for scaled analytics, automation, or AI adoption.

Key Responsibilities

1.

Strategic Discovery & Assessment

Conduct interviews and working sessions with internal teams and external data providers.

Assess current data workflows and integration patterns.

Map the high-level landscape of data sources, analytic needs, and integration patterns.

2.

Data Architecture & Ecosystem Design

Develop options for a secure, scalable, and cost?efficient modern data architecture.

Evaluate data platform and technology stack alternatives (e.g., cloud data platforms, integrated analytics environments, API-led data access patterns).

Recommend governance, metadata, privacy, and compliance frameworks.

3.

Cost & Operational Efficiency Analysis

Assess cost and operational efficiency trade?offs. Propose architectural strategies that optimize cost, performance, and operational scalability

4.

Roadmap & Recommendations

Deliver a comprehensive future?state data strategy and technical blueprint. Provide an implementation roadmap with prioritized actions.
Job Type: Contractual / Temporary
Contract length: 2 months

Pay: ?667,184.05 - ?1,937,379.69 per year

Work Location: Remote