Senior Manager, Data Engineering

$150,000 - $195,000/Yr

Charles Schwab - Lone Tree, CO

Full-time - Senior

Lone Tree, CO

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. Charles Schwab's Wealth & Asset Management Engineering (WAM) organization enables efficient business processes that use technology to scale and provide operating leverage for Schwab Asset Management, Financial Research, and Wealth & Advice Solutions. Our teams use the firm's technology platforms, capabilities, and expertise to provide a seamless client experience within a risk-controlled environment. We are seeking a seasoned Senior Manager (People Leader) in the 40 Act Data Engineering group within the WAM Engineering organization. As a Senior Manager, you will lead a dynamic team of 15 Full Time Employees and multiple contractor associates. The team consists of ETL Data Engineers, Business Intelligence Data Engineers, API Engineers and SDETs, all working together to develop and maintain critical data pipelines and infrastructure for our Investment Management business.

Responsibilities

• Lead and manage a team of 15 Full Time Employees and multiple contractor associates in the 40 Act Data Engineering group.
• Oversee the development and maintenance of critical data pipelines and infrastructure for the Investment Management business.
• Foster a collaborative and positive work environment, motivating team members and providing career development opportunities.
• Translate technical concepts for both technical and non-technical audiences to ensure effective communication.
• Provide strategic vision and leadership for the data engineering team, ensuring alignment with overall business goals.
• Stay up to date on the latest trends and technologies in data engineering, particularly within the GCP and Snowflake ecosystem.

Requirements

• A university degree from a well-respected academic institution; advanced degrees in Information management, Computer Science, Business Administration and/or other professional certifications are a plus.
• Minimum 12+ years of experience in data engineering with a proven track record of leading and managing teams of 15 - 20 people.
• Minimum 12+ years of experience working in financial services with a strong understanding of investment management data.
• Ability to read and understand code written in languages used by the team (e.g., Python, Java, SQL) for effective communication and collaboration.
• Excellent communication and interpersonal skills, with the ability to translate technical concepts for both technical and non-technical audiences.

Nice-to-haves

• CFA certification
• Subject matter expertise with the Financial Asset Management Industry domains along with experience with external vendor products Including Eagle Data Management, Rimes, BlackRock Aladdin, State Street, Morningstar, and Bloomberg.
• Proven experience working with a Data Management team and familiar with concepts like security master, product master, and pricing master data.
• Strong candidates will have knowledge of the Snowflake ecosystem, including internal and external stages, Snowpark, Streamlit, and data architectures built for Snowflake.
• Proficient in data engineering concepts including data modeling, data warehousing, data orchestration (e.g., Airflow), monitoring/observability, and data governance.
• Strong candidates will have knowledge and experience working with data pipelines, data warehousing, data storage solutions (on-premises and cloud-based), and familiarity with data technologies (e.g., Python, SQL, Java, Informatica, C#).
• Strong candidates will have knowledge and experience working with webservices and/or API specifications and ability to work with API Engineers in translating requirements into secure, scalable, resilient, and performant solutions.