MA
MassMutualQuantitative Data Engineer
Quantitative Data Engineer developing data solutions and automations for MassMutual's investment management. Working with data orchestration tools within a collaborative team environment.
About the role
- What will you be doing in this role?
- In collaboration with business stakeholders define core data entities.
- Map and document data flows across systems and domains to identify overlaps, data quality gaps, integration opportunities.
- Develop conceptual and logical data models and ontologies to describe data structures, relationships, reuse mechanisms.
- Develop, validate tools and standards procedures to ensure the accuracy, consistency of data models and ontologies across the organization.
- Develop a comprehensive data science framework and architecture.
- Define governance model and procedures for data governance, quality control, metadata management.
- Design and implement a scalable, secure and interoperable data architecture that supports data management strategy.
Requirements
- What will you be bringing to the team?
- Bachelor degree in IT or related field and minimum 5 years of professional experience as a Data Architect or in a similar role.
- At least 5 years of experience in enterprise level organization as a Data Architect or equivalent role.
- Proven experience in data architecture, data modeling, and metadata management using tools such as OpenMetadata, Collibra, or Apache Atlas, within large or multi-stakeholder organizations, combined with practical expertise in data quality frameworks.
- Strong understanding of data governance frameworks, ontology development, and federated data models using tools such as Denodo or Dremio, complemented by hands-on experience with ontology and metadata management platforms.
- Experience in data integration and orchestration tools such as Airlow, Airbyte, dbt, or Azure Data Factory, coupled with strong experience in data cataloguing.
- Experience leveraging tools such as PowerBI or IBM Business Automation Insights, and promoting best practices in data literacy and visualization.
- Hands-on experience in deploying data architecture or analytics frameworks in intelligence or law enforcement organizations.
- Ability to develop clear, comprehensive, and well-structured enterprise-level data documentation.
- Experience with semantic technologies, linked data frameworks, API integration is an advantage.
- Understanding of GDPR and AI Act is advantage.
- Previous experience in public sector or justice or law IT systems is an advantage.
- Certification or knowledge of TOGAF, DAMA-DMBOK or Data Vault methodologies is an advantage.
- Fluency in English at least at a level C1.
Benefits
- At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.
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