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Senior Data Architect(m/w/x)
Design and maintain data models for institutional portfolios in private markets. AI and advanced analytics project delivery experience required. Lead authority role, finance-tech integration focus.
Requirements
- Proven track record in designing and implementing enterprise data architectures
- Strong expertise in data modelling and enterprise data modelling principles
- Demonstrable experience in data integration, ETL processes, and database management
- Experience in AI and advanced analytics project delivery
- Strong understanding of data governance frameworks and regulatory compliance
- Familiarity with data lake, big data, and cloud-based data technologies
- Ability to translate complex technical concepts into clear insights for non-technical stakeholders
- Experience in metadata management and data lineage tools
- Comfortable working with complex data ecosystems and multiple stakeholder groups
Tasks
- Act as the lead authority on data architecture
- Develop and implement a comprehensive data strategy
- Ensure data quality, integrity, and security
- Design and maintain logical and physical data models
- Support reporting, analytics, and operational processing
- Oversee data integration processes for accurate data flow
- Establish robust data foundations for machine learning
- Drive data governance frameworks and policies
- Collaborate with IT security teams on data security measures
- Manage enterprise data assets and documentation
- Evaluate and recommend data management tools and technologies
- Provide expert guidance on data-related initiatives
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- data lake
- big data
- cloud-based data technologies
- metadata management
- data lineage tools
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Senior Data Architect(m/w/x)
Design and maintain data models for institutional portfolios in private markets. AI and advanced analytics project delivery experience required. Lead authority role, finance-tech integration focus.
Requirements
- Proven track record in designing and implementing enterprise data architectures
- Strong expertise in data modelling and enterprise data modelling principles
- Demonstrable experience in data integration, ETL processes, and database management
- Experience in AI and advanced analytics project delivery
- Strong understanding of data governance frameworks and regulatory compliance
- Familiarity with data lake, big data, and cloud-based data technologies
- Ability to translate complex technical concepts into clear insights for non-technical stakeholders
- Experience in metadata management and data lineage tools
- Comfortable working with complex data ecosystems and multiple stakeholder groups
Tasks
- Act as the lead authority on data architecture
- Develop and implement a comprehensive data strategy
- Ensure data quality, integrity, and security
- Design and maintain logical and physical data models
- Support reporting, analytics, and operational processing
- Oversee data integration processes for accurate data flow
- Establish robust data foundations for machine learning
- Drive data governance frameworks and policies
- Collaborate with IT security teams on data security measures
- Manage enterprise data assets and documentation
- Evaluate and recommend data management tools and technologies
- Provide expert guidance on data-related initiatives
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- data lake
- big data
- cloud-based data technologies
- metadata management
- data lineage tools
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Moonfare
Industry
FinancialServices
Description
The company delivers institutional-quality portfolios for investors in private markets, combining finance and tech expertise.
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