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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and implementing data architectures, including Databricks and Azure Data Lake, while ensuring alignment with enterprise standards and governance. Capable of leading technical direction and mentoring teams in Agile environments to optimize data solutions for analytics and reporting.
Highest-signal resume keywords
Databricks ExpertiseAzure Data Lake ProficiencyETL/ELT Patterns KnowledgeAgile Delivery ExperienceTechnical Leadership Skills
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 EngineeringSolution ArchitectureDimensional ModellingData Quality ControlsBatch IntegrationStreaming IntegrationData GovernanceAI IntegrationMachine Learning Pipelines
Soft Skills
Excellent CommunicationStakeholder ManagementAnalytical Problem-SolvingCollaborative ApproachOwnership-Focused Delivery
Tools & Technologies
Delta LakePower BIAzure DevOpsGitCI/CD
Industry Keywords
Enterprise Data PlatformsData IngestionData ModellingData ConsumptionMetadata Management
Tech Stack
Tools & technologiesAzureETL
About the role
Key responsibilities & impact- Define target-state and transition architectures for Databricks, Azure Data Lake, and enterprise lakehouse capabilities
- Create reference architectures and standards for data ingestion, ETL/ELT, modelling, integration, security, governance, and consumption
- Translate business capabilities and non-functional requirements into logical and physical data architecture decisions
- Lead architecture and design reviews, document decisions, and maintain a prioritized architecture roadmap
- Evaluate and incorporate artificial intelligence, machine learning pipelines, and LLM integrations into core system architectures
- Define domain-oriented data models, bronze/silver/gold patterns, data contracts, and reusable data-product standards
- Establish expectations for metadata, cataloguing, lineage, data quality, retention, privacy, and role-based access
- Align curated data with reporting, Power BI, analytics, data science, and AI use cases
- Partner with governance and security teams to ensure solutions follow enterprise standards
- Provide hands-on technical direction, prototypes, and design support throughout Agile delivery
- Guide engineering teams on scalability, reliability, performance, cost optimization, and maintainability
- Identify architecture risks, dependencies, and technical debt and track decisions and actions through Azure DevOps
- Mentor engineers and promote practical architecture guardrails
- Partner with data engineering, platform, reporting, analytics, AI, business, Product Management, Engineering, Enterprise Architecture, DevOps, Security, supply chain, and manufacturing stakeholders
Requirements
What you’ll need- Bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience
- 10+ years of hands-on experience in data architecture, data engineering, or solution architecture for modern enterprise data platforms
- Strong practical expertise with Databricks, Azure Data Lake, Delta Lake, and lakehouse architecture
- Strong knowledge of ETL/ELT patterns, dimensional and domain modelling, batch and streaming integration, and data-quality controls
- Experience designing data platforms that support enterprise reporting, analytics, and self-service consumption
- Working knowledge of Agile delivery, Git, CI/CD, DevOps practices, and Azure DevOps
- Experience working within Agile and SAFe delivery models
- Excellent communication, stakeholder management, and technical leadership skills
- Strong analytical and structured problem-solving skills
- Clear communication across technical and business audiences
- A collaborative, ownership-focused approach to delivery
- Ability to balance quality, speed, maintainability, and operational needs
- Ability to explain architecture trade-offs and influence decisions without direct authority
Benefits
Comp & perks- Health care
- Dental coverage
- Vision plans
- 401K benefits
- Commissions/incentive compensation depending on the role
- Reasonable accommodation in the application process