BI Architect
RxSenseFull Time
Senior (5 to 8 years)
Candidates should possess a Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field, with a minimum of 5 years of experience in data architecture, modeling, pipelines, and BI/reporting. Essential technical skills include strong expertise in SQL, data modeling (3NF, dimensional, star/snowflake schemas), experience with data warehouse technologies and cloud platforms (AWS, Azure, GCP), and proficiency in BI/reporting tools and data visualization best practices. Familiarity with data governance, security, and compliance standards is also required, along with excellent problem-solving, communication, and collaboration skills.
The Data Architect & Business Intelligence Specialist will design and maintain the enterprise data architecture, develop logical and physical data models, and establish metadata standards and data dictionaries to ensure data consistency, quality, and governance. Responsibilities also include designing and building scalable data pipelines using ETL/ELT tools, planning and executing data migration projects, and designing, implementing, and managing modern data warehouses. Additionally, the role involves collaborating with stakeholders to gather reporting requirements, building interactive dashboards and reports using BI tools, enabling self-service reporting, and monitoring data usage and performance.
Global alternative asset management firm
Blackstone is a leader in alternative asset management, focusing on private equity, real estate, and credit investments. The firm manages over $1.1 trillion in assets and partners with financial advisors to provide access to private markets, aiming to create strong businesses that deliver lasting value. Its main products, BREIT and BCRED, cater to income-focused investors, while the On-Demand Continuing Education Program helps educate investors on private market topics. Blackstone's goal is to identify economic trends and invest in industry-leading businesses to generate strong returns.