Data Science Architect (Azure / AWS) (Bengaluru)

• Data Science Architect (Azure / AWS) (Bengaluru)
• Company: Qubist Solutions
• Job Location: Bengaluru, Karnataka, India
• Employment Type: Full-time
• Experience Required: 8+ years
• Were Hiring: Data Science Architect (FinTech / Private Credit)

Are you an experienced Data Architect with deep capital markets expertise looking to build cutting-edge data platforms powered by modern LLMs and cloud technologies Join our team to drive end-to-end data architecture and analytics for our buy-side platform!

• Location: Bangalore / Hybrid]
• Employment Type: Full-time
• Experience Level: Senior (8+ years)
• About the Role

As a Data Science Architect, you will lead the evolution of our enterprise data warehouse, integrate AI/LLM technologies, and connect key trading, portfolio management, and accounting platforms. Youll work closely with portfolio managers, traders, and finance teams to deliver high-impact data solutions and real-time reporting.

• Key Responsibilities
• Data Architecture & AI: Design enterprise data warehouses incorporating LLMs, machine learning automation, and unstructured data.
• System Integration: Lead integrations with OMS, PMS, and IBOR systems using Python, T-SQL, and RESTful APIs.
• Analytics & Reporting: Build executive dashboards and ad-hoc reporting tools for front and middle-office stakeholders.
• Operations & Stability: Provide L2 support, automate routine operational tasks, and ensure maximum stability for mission-critical pipelines.
• What Were Looking For
• 10+ years of hands-on experience in enterprise financial technology (buy-side / private credit preferred).
• Advanced T-SQL skills (stored procedures, query performance tuning) and robust Python programming.
• Deep experience with cloud data platforms (Snowflake, Databricks, Redshift, or Azure Synapse).
• Familiarity with capital markets systems (Aladdin, Allvue, Bloomberg, Refinitiv).
• Experience or strong interest in configuring and deploying LLM & AI/ML technologies into enterprise pipelines.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.
• How to Apply

Interested in taking our data infrastructure to the next level Apply directly through LinkedIn or send your resume to hidden_email #Data ScienceArchitect #Data Engineering #FinTech #Private Credit #Capital Markets #Data Architect #Snowflake #Databricks #Python #SQL #TSQL #PowerBI #LLM #Artificial Intelligence #Machine Learning #Asset Management #Hiring #Tech Jobs #JobOpening #Data Warehouse .