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Manager, Software Development & Engineering

Charles Schwab
IND
Onsite
Discovered 1 months ago
Data platform engineeringETL/ELT pipelinesGoogle Cloud Storage (GCS)DataprocCloud DataflowApache Airflow / Composer

Full Job Posting

Role overview

The role sits within Schwab Asset Management’s Data team, which builds and operates data products and platform capabilities.

The manager owns end-to-end data capabilities supporting investment, operational, analytical, and regulatory use cases.

The position combines senior technical contribution with platform leadership and cross-functional partnership.

Platform and pipeline responsibilities

  • Design reusable frameworks for data ingestion, transformation, validation, and consumption.
  • Standardize pipeline, API, and visualization patterns; define practices for schema evolution, versioning, error handling, and observability.
  • Architect cloud-native ETL/ELT pipelines and workflows using GCS, Dataproc, Cloud Dataflow, Composer/Airflow, and Pub/Sub.
  • Build scalable transformations and curated layers in Snowflake and cloud data warehouses.

Investment data and services

  • Own investment data including holdings, positions, transactions, cash flows, security master, portfolio and account hierarchies, performance, risk, exposure, attribution, and reference data.
  • Design investment models and operational data stores using Kimball, relational, and domain-driven design principles.
  • Build Python Data APIs with FastAPI or Flask and secure RESTful services for analytical and operational consumers.
  • Develop Python-based dashboards and UI applications; apply governance, access control, and data protection standards.

About the team and company

Schwab Asset Management supports mutual funds, ETFs, and managed account products in a regulated environment.

The ecosystem includes multiple cloud, custodian, and vendor platforms, including Vestmark, Aladdin, and Eagle.

Charles Schwab describes its Hyderabad location as a growing technology hub supporting global teams.

Requirements

  • Operate as a senior technical contributor and platform leader, defining reusable frameworks and engineering standards.
  • Partner with architects, product owners, and investment stakeholders to deliver scalable, governed data solutions.
  • Design investment data models and stores that support regulatory, performance, and investment analytics use cases.
  • Build data APIs and visualization or UI layers using Python; FastAPI and Flask are listed as implementation options.

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