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Domain Lead – Data Engineering
Foodstuffs, Inc.. Lead the engineering direction, strategy and capability of the Data domain .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data engineering strategies and capabilities, with a focus on modern data architecture, data governance, and the establishment of data engineering standards. Proven ability to drive DataOps practices and build sustainable data ecosystems across enterprise-scale platforms.
Highest-signal resume keywords
Leadership Experience in Data EngineeringModern Data Architecture ExpertiseData Governance and Quality ManagementDataOps and CI/CD ImplementationCloud Data Platforms Proficiency
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 Engineering StandardsData ArchitectureData Quality ImprovementData GovernanceDataOps PracticesCI/CD Pipeline ReliabilityMetadata ManagementData FabricData MeshData Warehousing
Soft Skills
Technical LeadershipStrategic DirectionCollaborationInfluencing StakeholdersCommunity Building
Tools & Technologies
Google BigQuerySAP DataspherePower BISAP Analytics CloudData Orchestration Technologies
Industry Keywords
Data EcosystemData-as-a-ProductEnterprise Data PlatformsLifecycle ManagementScalabilityCost Optimisation
Tech Stack
Tools & technologiesBigQueryCloud
About the role
Key responsibilities & impact- Lead the engineering direction, strategy and capability of the Data domain
- Influence how data is engineered, governed, shared and consumed across the organisation
- Work across Data Engineering, Architecture, Analytics, Data Governance and business domains to create a trusted, scalable and sustainable data ecosystem
- Set direction for modern data engineering and establish standards, guardrails, patterns and reference architectures
- Lead through Principal Engineers, Tech Leads and Chapter Leads while maintaining accountability for domain outcomes
- Champion data-as-a-product and enable trusted, reusable, discoverable and well-governed data
- Drive DataOps, automation, CI/CD, data quality, observability, metadata and lineage practices
- Shape modern data platform approaches including cloud data platforms, lakehouse, data fabric, data mesh, semantic modelling and governed self-service analytics
- Balance team autonomy with enterprise standards for security, quality, governance and engineering
- Build and develop Data engineering capability, technical leadership, career pathways, communities of practice and succession
Requirements
What you’ll need- Significant leadership experience across enterprise-scale data engineering, data platforms, analytics engineering or data architecture
- Deep understanding of modern data architecture and engineering, including cloud data platforms, data warehouses, data lakes/lakehouse, data fabric, data mesh and modern integration patterns
- Strong experience establishing data engineering standards, patterns and guardrails
- Strong experience with data-as-a-product
- Experience improving engineering maturity across data quality, DataOps, CI/CD, pipeline reliability, observability, metadata and security-by-design
- Strong understanding of data governance, privacy, lineage, ownership and data quality
- Experience with Google BigQuery or equivalent cloud data platforms, SAP Datasphere, Power BI, SAP Analytics Cloud, data orchestration and integration technologies
- Proven ability to balance engineering excellence, business value, governance, commercial realities and long-term platform sustainability
- Experience supporting the strategic direction, health and investment of enterprise data platforms, including lifecycle management, scalability and cost optimisation
Benefits
Comp & perks- Inhouse learning and development programmes and courses
- Flu vaccinations
- Social network groups (Tribes)
- Flexible working options
- A day off on your birthday
- Long service leave
- Free carparking, including EV plugs
- Onsite café with subsidised meals
- Mini mart
- 5% discount at retail stores