Sr Manager, Data Engineering (PL)

Charles Schwab Corporation•Lone Tree, CO

31d•Onsite

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. We Believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). Applicants must be currently authorized to work in the United States on a full time basis without employer sponsorship. 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. Schwab is recruiting an outcome driven, results-oriented, well organized, strategic data technology leader who shares our passion for technology, innovation, people, and excellence. We are in the midst of re-architecting and rebuilding WAM Engineering core central data platform. The technical engineering leader (people leader) will be a hands-on lead engineer with technical/business acumen and leadership experience that excels in a structured, dynamic, fast-moving environment and is passionate about developing high quality, high performance, and scalable solutions. The candidate will lead and work aside a team of seasoned engineers whose main objective is to maintain all aspects of the system health and ensure the on-time, quality delivery of software releases. This position will be part of the Research Analytics Data and Reporting (RADR) Technology team within the Schwab Data organization focusing on centralizing core Schwab asset management data and building data products to support SAM's operational and business reporting needs leveraging cloud native data platform. This is a role for someone who is passionate and excited to learn/understand the business, build a solid team, focus on basics and streamline existing system to make is stable, and build a future state data platform that is going to be pivotal to drive client-centricity, reducing time to market, scale & increasing efficiency. Ideal candidates enjoy creating structure in a fast-paced environments, thrive under ambiguity, and embrace change passionately. This is a unique opportunity to grow and transform our business through driving significant step-change in our time to market, building more stable integrated solutions, and enabling project success via cross-functional coordination and ownership.

Requirements

A university degree from a well-respected academic institution; advanced degrees in Information management, Computer Science, Business Administration and/or other professional certifications
Minimum 12+ years of experience in data engineering with a proven track record of leading and managing teams of 5-15 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

Responsibilities

Lead a high-performing team of data engineers and leads supporting data pipelines, reporting, and exchange across key business domains
Provide strategic, technical and project leadership to data pipeline development
Drive end-to-end ownership of the development lifecycle including intake, estimation, design, build, test, and support
Collaborate with cross-functional stakeholders (Product Owners, Data Architects, QA, and Infrastructure teams) to define priorities and resource allocation
Implement best practices in SDLC, Agile/Scrum methodologies, and DevOps automation in a data engineering context
Govern platform health, technical debt, and capacity planning while ensuring adherence to compliance, audit, and information security guidelines
Manage performance, mentoring, and upskilling of talent across onshore and offshore teams
Promote a culture of operational excellence, observability, and data quality through proactive monitoring and metrics
Hands-on development and mentoring for all members of the team to ensure team and project success
Drive outcomes and team performance, collaborate with all to achieve results, and think strategically
Effectively navigate cross-functional communication to ensure alignment between teams and within one team
Cultivate a culture of open feedback that promotes accountability for getting better together
Collaborate with other shared functions to support application support and automation for deployments
Create and maintain artifacts for production support and deployment processes and ensure smooth hand off to support teams
Prior experience working with vendor resources and driving delivery and collaboration for maximum output
Translate technical concepts for both technical and non-technical audiences to ensure effective communication