Join our Technology & Transformation practice and help organizations harness the power of their data. We guide companies in managing diverse data sources, transforming them into actionable insights for informed decision-making, and achieving a competitive edge. Our expertise spans business intelligence, data management, performance management, and advanced analytics, including big data, cloud, cognitive, and machine learning technologies.

You will design and develop robust data models for enterprise data warehouses and cloud platforms, focusing on asset management and private markets data. This includes architecting solutions for fund, vehicle, investor, asset, transaction, and performance datasets. You'll also translate business requirements and reporting needs into scalable data mart models, collaborating with SMEs and delivery teams to define relationships, hierarchies, and reusable patterns. Furthermore, you will support complexity assessments, model reviews, and ensure comprehensive documentation for downstream teams.

We are seeking professionals with hands-on experience in conceptual, logical, and physical data modeling, including strong knowledge of dimensional modeling patterns such as facts, dimensions, conformed dimensions, bridge tables, hierarchies, and SCD Type 1/2. Proficiency in SQL, ETL/ELT, and dbt transformation patterns is essential. A solid understanding of data quality, reconciliation, analytics consumption layers, and Airflow-based orchestration is required. Experience with platforms like GCP BigQuery, Snowflake, Databricks, or Azure Synapse is highly preferred. A B.Tech or BE degree is necessary for this role.