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.
Data & AI Capability Manager
Robusta Studio. Lead the delivery of the data platform workstream, from planning through production .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data engineering projects, focusing on data ingestion, transformation, and quality while ensuring alignment with modern data platform architectures. Proficient in Microsoft Azure data services and capable of making strategic technical decisions to drive project success.
Highest-signal resume keywords
Data Engineering LeadershipMicrosoft Azure Data ServicesData Ingestion and TransformationSQL and Python/PySpark ProficiencyCI/CD and Automated Deployment
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 IngestionData TransformationData ModellingSQLPythonPySparkData PipelinesData QualityReal-Time Data ProcessingData Governance
Soft Skills
Strong CommunicationStakeholder ManagementMentoring
Tools & Technologies
Microsoft FabricPower BIDbtCI/CD ToolsCloud Data Platforms
Certifications & Qualifications
Microsoft Azure CertificationsData Engineering Certifications
Industry Keywords
Data PlatformLakehouse ArchitecturesEnterprise Systems IntegrationData Quality ActivitiesData Engineering Practices
Tech Stack
Tools & technologiesAzureCloudERPPySparkPythonSQL
About the role
Key responsibilities & impact- Lead the delivery of the data platform workstream, from planning through production
- Translate the existing architecture and roadmap into clear technical deliverables and priorities
- Lead and support the team throughout the delivery
- Design and oversee data ingestion, transformation, modelling, and data quality activities
- Ensure the data platform is scalable, reliable, maintainable, and aligned with the agreed architecture
- Work closely with Project Managers to manage scope, priorities, dependencies, risks, and delivery progress
- Make and communicate technical decisions within the data engineering domain
- Review technical solutions and deliverables to ensure quality and consistency
- Identify technical and delivery risks early and drive them through to resolution
- Work with other technical teams to manage integrations and dependencies across the platform
- Help establish good data engineering practices that can be reused across future projects
- Act as the main technical point of contact for data delivery within the project
Requirements
What you’ll need- Proven experience leading data engineering or data platform delivery in a project environment
- Strong hands-on experience with Microsoft Azure data services
- Practical experience with Microsoft Fabric or a comparable modern cloud data platform
- Strong understanding of modern data platform and lakehouse architectures
- Experience with data ingestion, transformation, and data modelling
- Strong SQL skills and practical experience with Python and/or PySpark
- Experience with data pipelines, orchestration, and data quality
- Experience leading or mentoring data engineers
- Ability to balance technical decisions with delivery priorities, timelines, and project constraints
- Strong communication and stakeholder management skills
- Experience with dbt
- Experience integrating data from enterprise systems (ERP)
- Experience with CI/CD and automated deployment of data workloads
- Experience with real-time or near-real-time data processing
- Experience with Power BI or other analytical/BI platforms
- Experience with data governance, master data, or identity resolution
- Relevant Microsoft Azure or data engineering certifications