FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the architecture and implementation of scalable enterprise data platforms, with a strong focus on modern cloud data ecosystems and advanced analytics solutions. Proven ability to manage multidisciplinary teams, oversee technical quality, and drive client engagement and business development.
Highest-signal resume keywords
Cloud Data Ecosystem ExpertiseEnterprise Data Platform ArchitectureAdvanced Analytics and AI SolutionsStakeholder Management and CommunicationSales Growth and Business Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData ModellingData Ingestion SolutionsData Transformation SolutionsData Orchestration SolutionsCloud Platforms (Microsoft Azure, AWS, Google Cloud)DatabricksSnowflakeBigQueryMedallion Architecture
Soft Skills
Technical LeadershipCoaching and DevelopmentCollaborationClient Relationship ManagementPresentation Skills
Certifications & Qualifications
Degree in Computer ScienceDegree in Information TechnologyDegree in DataDegree in Engineering
Industry Keywords
Data & AnalyticsTechnology ConsultingEnterprise-scale SolutionsClient EngagementGovernance
Tech Stack
Tools & technologiesAWSAzureBigQueryCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Lead the architecture, design and implementation of scalable, secure and resilient enterprise data platforms
- Set technical direction across data architecture, data modelling, medallion architecture, data pipelines, advanced analytics and emerging AI solutions
- Translate complex business and technology objectives into architectures, delivery roadmaps and implementation approaches
- Provide senior technical leadership across complex and concurrent Data & Analytics engagements
- Oversee technical quality, delivery standards, architecture decisions, risks and dependencies
- Lead multidisciplinary teams and establish governance, accountability and collaboration across stakeholders
- Provide technical direction across modern cloud data ecosystems and enterprise data platforms
- Guide modular, maintainable and reusable data ingestion, transformation and orchestration solutions
- Shape advanced analytics and AI solutions, including generative AI and agentic approaches
- Build trusted relationships with senior client stakeholders and advise on data strategy, architecture and delivery
- Lead and contribute to opportunities through solution design, estimations, proposals, bids and client presentations
- Take responsibility for sales activity and achievement against an agreed individual sales target
- Strengthen client relationships and identify opportunities to extend Protiviti’s value
- Lead, coach and develop colleagues and support technical development and career progression
- Contribute to reusable methods, assets and accelerators that improve delivery quality and efficiency
Requirements
What you’ll need- Deep technical expertise within one or more major cloud data ecosystems, including Microsoft Azure and Fabric, Databricks, AWS and Snowflake, or Google Cloud Platform and BigQuery
- Proven experience architecting and implementing enterprise-scale data platforms within client environments
- Strong knowledge of modern data architecture patterns, data modelling and layered or medallion architectures
- Experience designing modular, scalable and maintainable data ingestion, transformation and orchestration solutions
- Experience of advanced analytics and the practical application of AI to business challenges
- Strong architecture judgement and ability to balance technical, commercial and client considerations
- Proven experience leading complex technical delivery and multidisciplinary teams
- Ability to oversee multiple priorities while maintaining strong standards of delivery and technical quality
- Strong senior stakeholder management, communication and presentation skills
- Demonstrable experience developing technical capability and coaching others
- Strong commercial awareness and proven experience contributing to sales growth, solutioning, bids, proposals and client-facing business development activity
- Ability to operate as a trusted adviser, providing informed recommendations and constructive challenge
- Degree in Computer Science, Information Technology, Data, Engineering or a related discipline, or equivalent relevant professional experience
- Significant professional experience in Data & Analytics, data architecture, data engineering or technology consulting, including senior leadership of complex client engagements
- Background check required as a condition of employment
Benefits
Comp & perks- Employees are eligible for medical and dental insurance cover
- Life assurance
- Pension scheme
- Up to 25 days holiday per calendar year
- Up to 10 paid holidays each calendar year
- Additional benefits as part of the Robert Half Enterprise
- Hybrid working model combining in-person and remote work
- Flexible environment