AI-driven financial services platform with data lakehouse architecture
LPL Financial's Hyderabad capability center runs a modern data and AI stack—Snowflake, Delta Lake, dbt, Apache Airflow, SageMaker, LangChain—while replacing SQL Server Integration Services and building toward real-time data orchestration. The hiring surge is heavily engineering-focused (40 of 61 open roles), skewed senior, and concentrated on AI-powered account opening, data governance, and advisor self-service tools, suggesting a near-term push to operationalize machine learning across client-facing workflows.
Notable leadership hires: Reporting Tech Lead, Software Development Lead, Data Warehouse Tech Lead, Database Lead
LPL Financial's Global Capability Center in Hyderabad serves as a technology hub for the parent company's financial services platform. The center employs 5,001–10,000 professionals and operates across engineering, data, operations, product, and design functions. Current work centers on AI-enhanced account opening and onboarding systems, a data lakehouse consolidating Delta Lake and Snowflake assets, and end-to-end automation connecting advisor, investor, and internal platforms. The organization is addressing data governance, system latency, and release velocity as primary operational constraints.
Core: Angular, TypeScript, .NET Core, C#, Java on AWS. Data: Snowflake, Delta Lake, AWS Glue, Collibra, Atlan, Tableau, Power BI. ML: SageMaker, LangChain, Hugging Face, FAISS, Pinecone. Adopting: dbt, Apache Airflow, Delta Live Tables.
AI-powered account opening and onboarding, data lakehouse architecture, advisor self-service for risk & compliance, high-volume low-latency applications, and the LPL Intelligence Marketplace. Also building data replication pipelines and improving web UI performance.
Other companies in the same industry, closest in size