Sr Team Manager, Data Engineering

About the position

At Schwab, you are 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. Schwab is seeking an outcome driven, results-oriented, well organized, strategic data technology leader who shares our passion for technology, innovation, people, and excellence. The technical engineering leader will be a hands-on lead engineer with technical/business acumen and leadership experience that excels in a dynamic, fast-moving, and agile 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 platform and system releases. This position will be part of the Operational Data Exchange (ODX) Technology team within the Schwab Data organization focusing on providing Operational Intelligence and Insights, and position Schwab to remain a Data Driven organization using a world class Data Exchange platform. The DX's support various critical business functions and business units - Finance, Futures & Forex Trading, Risk, Treasury, Compliance, etc. The model is insights-driven and focuses on rapid iterations to drive innovation and transformation. Ideal candidates enjoy 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 integrated client-centric experiences, and enabling project success via cross-functional coordination and ownership.

Responsibilities

• Provide strategic, technical and project leadership to drive fast platform and data pipeline development
• Drive Agile development supporting organization priorities and innovation
• Team Management, hands-on development and mentoring as necessary 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
• Work closely with development, product owner and team members to decompose stories, design features, and prioritize tasks
• Lead team in execution of application support and automation for deployments
• Interface with product owner and key stakeholders in Project Management, Business, Development, QA and Technology Operations to ensure high quality delivery of software projects on time and on budget
• Identify technology risks and dependencies early to establish mitigation plans
• Create and maintain artifacts for production support and deployment processes
• Meet periodically with onshore and offshore developers and application support to review and improve processes
• Utilize automated software tools and frameworks for deployments and on-going maintenance activities
• Support integration and modernization efforts

Requirements

• Exceptional track record in delivering results and business outcomes
• Experience in building and maturing teams at different levels
• Masters or Bachelor's degree in Computer Science, Information Technology or similar/equivalent area of study
• 7+ years working in the financial services industry
• 15+ years of solid data engineering and automation experience
• 10+ years of strategic project leadership experience in matrixed organization
• 7+ years of experience leading and managing a team in a data innovation and data technology function in the context of data as the product

Nice-to-haves

• Experience with Futures & Forex Trading and data platforms
• Good understanding of latest Architecture and Development Standards and Guidelines
• Experience providing guidance, direction, and feedback to other technical staff in order to meet agreed upon objectives
• Ability to analyze, propose and implement timely, cost effective, quality solutions for all issues or problems within area of responsibility
• Excellent verbal and written communication skills required for composing and delivering technical presentations or other forms of documentation to various levels of technical and non-technical management
• Proficient managing multiple priorities in a dynamic, geographically dispersed environment
• Good understanding of Database, preferably SQL and/or PostGres
• Good understanding of Data pipelines and patterns
• Experience in Python coding skills
• Experience with tools such as GitHub, Bamboo, JMeter, SonarQube
• Experience with mapping data required for regulatory, non-regulatory data needs
• Experience and demonstrated proficiency in cloud-based technologies (GCP preferred or AWS)

Benefits

• Eligible for bonus or incentive opportunities