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Data Architect – Modeller
Phoenix Group. Design, build and reverse engineer data models and metadata systems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building data models and platforms, particularly in financial services and asset management. Proficient in data governance, Agile methodologies, and stakeholder communication to ensure effective delivery and compliance.
Highest-signal resume keywords
Data Modelling ExpertiseExperience With AWS S3 And AWS LambdaKnowledge Of Agile MethodologiesUnderstanding Of Data Warehouse ArchitecturesStakeholder Management 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 ModellingData GovernanceETL/ELT ArchitectureData ProfilingData AnalysisData Dictionary ManagementInvestment And Asset DatasetsData Lakehouse ArchitectureAnalytics SolutionsCI/CD
Soft Skills
Excellent Communication SkillsStakeholder EngagementProblem-Solving SkillsResilience And AdaptabilityAssertiveness
Tools & Technologies
ErwinJiraConfluenceSnowflakePower BI
Certifications & Qualifications
Degree In Computer ScienceMembership Of A Professional Body
Industry Keywords
Financial ServicesAsset ManagementData ManagementData GovernanceAgile Delivery
Tech Stack
Tools & technologiesAWSCloudETLSnowflake
About the role
Key responsibilities & impact- Design, build and reverse engineer data models and metadata systems
- Help delivery teams interpret business needs and translate them into scalable data models
- Provide oversight and advice to architects and engineers designing and building data models and technology solutions
- Communicate data models to engineering teams for efficient Agile delivery
- Select and communicate appropriate data model types for master data management systems through reporting data marts
- Design data platforms using technologies such as AWS S3, AWS Lambda and Snowflake
- Design data platforms across business areas and identify common solutions
- Design semantic models in Snowflake for AI use cases and Power BI solutions
- Communicate with stakeholders and facilitate discussions within multidisciplinary teams
- Produce logical and physical models aligned with end-user needs
- Undertake data profiling and source system analysis and present insights
- Support data governance, assurance and compliance recommendations
- Participate in architectural governance forums, working groups and design authorities across multiple projects
- Create and manage business and technical data dictionaries
- Provide input to and enforce information standards policies
- Promote corporate-system data availability over manual curation and identify automation opportunities
- Collaborate with delivery teams, Data Architects and Data Governance to prioritise activities
- Support Asset Management’s technology strategy during a significant transformation period
Requirements
What you’ll need- Experience of Financial Services, specifically within Asset Management
- Excellent working knowledge of standard data modelling tools, e.g. Erwin
- Experience with investment and asset datasets, including derivatives
- Good stakeholder management and engagement skills
- Knowledge of Agile methodologies and tooling, e.g. Jira/Confluence
- Understanding of Data Warehouse, Data Lake and/or Data Lakehouse architectures
- Experience with multiple data storage types and technologies, including relational DBMS, columnar databases and cloud object storage
- Understanding of ETL/ELT architecture and design concepts
- Understanding of data exploitation solutions including Analytics, Reporting and APIs
- Demonstrable expertise in data modelling in large complex IT estates
- Experience implementing multiple data architectures and integrating Data Management/Governance tooling
- Experience with Agile, CI/CD, DevOps and Test Automation
- Excellent communication, influencing and facilitation skills
- Assertiveness when dealing with people at all levels
- Issue management, prioritisation and ability to provide pragmatic direction
- Resilience, flexibility and adaptability to changing schedules and priorities
- Degree in Computer Science, Technology or Engineering is desirable
- Membership of a professional body is desirable
- Customer-focused approach
- Problem-solving, analytics and resolution skills
- Strong verbal and written communication skills
- Ability to communicate effectively across teams
- Ability to operate in cross-functional and multidisciplinary teams
- Ability to learn new technologies and commit to self-development
Benefits
Comp & perks- Discretionary bonus
- Private medical cover
- 38 days annual leave
- Up to 12% employer pension contribution
- 12x salary life assurance
- Career breaks
- Income protection
- 3 volunteering days
- Part-time, job-share and other flexible working options
- Recruitment process adjustments where required