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Wissen Technology is hiring for Data Architect. We are seeking a skilled Data Architect/ Data Modeler to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining data models that support business needs and enhance data integrity. You will collaborate with cross-functional teams to ensure that data structures align with organizational goals.
Job Responsibility:
Design and develop conceptual, logical, and physical data models based on business requirements
Collaborate with stakeholders in finance, operations, risk, legal, compliance and front offices to gather and analyze data requirements
Ensure data models adhere to best practices for data integrity, performance, and security
Create and maintain documentation for data models, including data dictionaries and metadata
Conduct data profiling and analysis to identify data quality issues
Conduct detailed meetings and discussions with business to translate broad business functionality requirements into data concepts, data models and data products
Requirements:
15+ years of experience as a Data Architect / Data Modeler in financial services or asset management firms
Strong understanding of buy-side financial domain and business concepts
Mandatory experience in Private Markets (Private Credit, Private Equity, Real Estate, Alternatives)
Expertise in data modeling techniques: ER modeling, dimensional modeling, normalization/denormalization
Strong knowledge of SQL and relational databases (Oracle, SQL Server, MySQL)
Ability to translate business needs into scalable data architectures and models
Strong analytical, problem‑solving, and communication skills
Experience working with cross-functional teams in enterprise environments
Nice to have:
Experience in data warehousing and BI platforms
Knowledge of data governance frameworks, metadata management, and data quality practices
Familiarity with NoSQL databases
Certifications in data modeling, data architecture, or related areas
Experience working in large-scale, globally distributed financial environments