ThoughtFocus
Linkedin · Posted 24d ago
Data Architect
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Indexed description
- 10+ years of hands-on experience in enterprise financial technology implementations, including financial data warehouses, custom workflow and reporting development, and data integrations—ideally within the private credit domain
- Advanced proficiency in MS T-SQL, including stored procedures, functions, and performance/query optimization
- Experience integrating complex applications via RESTful APIs
- Experience implementing or configuring Portfolio Management, Order Management, or Investment Book of Record accounting systems
- Proven ability to develop business-facing dashboards and reports using BI technologies such as Sigma Computing, Power BI, or Tableau
- Experience configuring and deploying LLMs and AI/ML technologies preferred
- Advanced knowledge of data warehouse platforms (e.g., Snowflake, Databricks, Amazon Redshift, Azure Synapse) and associated tooling preferred
- Bachelor’s or Master’s degree in a relevant technical field
- Strong knowledge of buy-side financial services technologies, including trading and portfolio management systems (e.g., Allvue/Black Mountain, BlackRock Aladdin)
- Familiarity with alternative asset classes (credit, private equity) and the investment lifecycle
- Experience with market data platforms such as Bloomberg, S&P Markit, or Refinitiv
- Knowledge of Arcesium Aquata or similar data warehouse platforms preferred
- Demonstrated ability to translate business requirements into technical design and deliver end-to-end, from development through user testing and adoption
- Excellent problem-solving skills with the ability to prioritize multiple time-sensitive projects simultaneously
- Strong verbal and written communication skills; customer-service-oriented mindset
- Availability for on-call support outside standard hours for scheduled changes, emergency incident management, and escalated requests
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