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About the Role

Schwab is seeking an outcome-driven, results-oriented, and well-organized data technology lead to join their team. This role involves re-architecting and rebuilding the core enterprise data platform to support business evolution. The ideal candidate will be a hands-on lead engineer with technical and business acumen, passionate about developing high-quality, scalable solutions and leading a team to ensure system health and timely software delivery. This position is part of the Operational Data Exchange (ODX) Technology team, focusing on providing operational intelligence and insights to maintain Schwab's data-driven approach.

Responsibilities

• Provide technical and project leadership to data pipeline development.
• Understand business needs and align solutions to drive delivery.
• Drive Agile development supporting organization priorities and innovation.
• Collaborate with analysts and stakeholders to understand data requirements and deliver tailored solutions.
• Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
• Develop robust ETL processes to integrate data from diverse sources.
• Implement data validation and quality checks.
• Mentor junior team members.
• Implement data security controls and access management policies.
• Drive outcomes and team performance.
• Collaborate with development, product owner, and team members to decompose stories, design features, and prioritize tasks.
• Effectively navigate cross-functional communication to ensure alignment.
• Cultivate a culture of open feedback that promotes accountability.
• Collaborate with shared functions to support application support and automation for deployments.
• Interface with product owner and key stakeholders to ensure high-quality software project delivery.
• 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.
• Demonstrate ability to disagree, debate with data, and commit to delivery.

Requirements

• Expertise in ETL development, Data Quality, Best Practices, Exception Handling.
• Proficiency in SQL, Google Cloud Products (BigQuery, Cloud Storage, Dataflow, Composer, Pub/Sub), and SQL Server Integration Services.
• Expertise in Informatica (IDMC/IICS) and Python coding skills.
• Experience using AI in the development lifecycle for efficiency.
• Business Analysis experience to translate business requirements to data mapping.
• Exceptional track record in delivering results and business outcomes.
• Experience in maturing teams at different levels.
• Minimum of 3 years working in the financial services industry.
• Minimum of 8 years of solid data engineering experience.
• Minimum of 2 years project lead experience in a matrixed organization.
• Strong understanding of Data Warehouse concepts (star schema, slowly changing dimensions, fact/dimension modeling) and Operational Data Exchanges/Stores.
• Solid understanding of data lifecycle, metadata management, and governance standards.
• Strong communication and stakeholder management skills across technical and non-technical audiences.
• Willingness to learn new skills and keep up with technology changes.
• Prior experience working in an onshore offshore model driving development outcomes.
• Experience working with and sourcing data from Corporate Systems like Workday, BMC Remedy Helix, Jira, Rally.
• Experience providing guidance, direction, and feedback to other technical staff.
• Ability to analyze, propose and implement timely, effective, quality solutions.
• Excellent verbal and written communication skills for technical presentations and documentation.
• Proficient managing multiple priorities in a well-organized, dynamic, geographically dispersed environment.
• Strong understanding of Data pipelines and patterns.
• Experience in dev tools such as GitHub, Bamboo, Liquibase.

Skills

• ETL development
• Data Quality
• Best Practices
• Exception Handling
• SQL
• Google Cloud Products
• BigQuery
• Cloud Storage
• Dataflow
• Composer
• Pub/Sub
• SQL Server Integration Services
• Informatica (IDMC/IICS)
• Python
• AI in development lifecycle
• Business Analysis
• Data analysis
• Data mapping
• Data Warehouse concepts
• Star schema
• Slowly changing dimensions
• Fact/dimension modeling
• Operational Data Exchanges/Stores
• Data lifecycle management
• Metadata management
• Governance standards
• Communication
• Stakeholder management
• Onshore offshore model
• Corporate Systems integration
• Workday
• BMC Remedy Helix
• Jira
• Rally
• Technical presentations
• Documentation
• Agile development
• Data pipelines
• GitHub
• Bamboo
• Liquibase

Location

• Austin, TX
• Southlake, TX

Work Type

• Full-time

Experience Level

• Minimum of 3 years working in the financial services industry
• Minimum of 8 years of solid data engineering experience
• Minimum of 2 years project lead experience

Education Level

• Masters or bachelor’s degree in computer science, Information Technology or similar/equivalent area of study

Salary/Compensations

• In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

About the Company

• 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.
• Our main goal here at Schwab is to transform people’s lives by changing the way the world invests.
• We are in the midst of re-architecting and rebuilding our core enterprise data platform to support our rapidly growing and evolving business.
• 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 (DX) platform.
• The DX support various critical business functions and business units – Schwab Technology Services (STS), Audit, Corporate Tax, Risk, Compliance, etc.
• This is a role for someone who is passionate and excited to learn/understand corporate systems, focus on basics and streamline existing system to make it 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 environment, 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.