Sr Manager, Data Engineering Senior

Your Opportunity

Schwab remains committed to providing increased visibility to career growth opportunities and job requirements. This posting announcement is part of increased transparency and while all qualified applicants will be reviewed and considered, this organization has a preferred candidate identified for this role. 

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).

Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning

​​Schwab is continuing to modernize and scale its enterprise data engineering ecosystem, enabling secure, reliable, and governed data solutions across Cloud Data Warehouse, BigQuery, data integration, analytics, reporting, and emerging AI/ML use cases. 

This Senior Data Engineer role will focus on designing and delivering scalable data pipelines, data models, integration patterns, and cloud-based data assets that support business intelligence, operational reporting, advanced analytics, predictive modeling, and broader enterprise adoption across Schwab. 

We are seeking a senior, hands-on data engineer to strengthen delivery across Google Cloud, BigQuery, ETL/ELT, orchestration, data quality, metadata, lineage, access controls, production support, and release readiness. This role will help lead end-to-end solution delivery, establish reusable engineering patterns, improve development quality and automation, and mentor onshore and offshore engineers. 

This is an opportunity to lead high-impact data engineering work on enterprise-scale cloud and warehouse platforms that enable trusted data, analytics, reporting, and AI/ML capabilities in a highly regulated financial services environment. The role will ensure data products are built with strong governance, performance, resiliency, auditability, and operational accountability as Schwab’s data platforms scale. 
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Key Responsibilities:

• Partner with business stakeholders to understand strategic and business objectives, recommend appropriate solutions, and collaborate with architects to define the supporting architecture. 
• Evaluate new tools and software, conduct proofs of concept, and provide recommendations to enhance the enterprise technology landscape. 
• Work closely with Informatica, Google, and other product vendors to resolve product issues that impact delivery of requested features. When resolution takes longer, implement appropriate workarounds to keep deliverables on track. 
• Participate in project planning and resource allocation activities. 
• Define standards, guidelines, and best practices for design, development, and testing activities. 
• Perform ETL design, development, data management, and data analysis activities. 
• Create data models, perform performance tuning, define load plans, and ensure deliverables meet both functional and non-functional requirements. 
• Plan, estimate, schedule, prioritize, and coordinate technical activities related to system development. 
• Ensure system alignment with architecture policies and best practices and confirm that established process methodologies are followed throughout system development. 
• Collaborate with onshore and offshore teams to ensure timely delivery of high-quality data engineering solutions. 
• Provide mentorship and hands-on coding support to team members. 
• Identify opportunities for system reuse, simplification, and operational efficiency​

What you have

To ensure that we have fulfilled our promise of "challenging the status quo," this role has specific qualifications that successful candidates should have.

Required: 

• Bachelor’s degree in computer science, information technology, engineering, or a related field, or equivalent experience in a related field. 
• 10+ years of professional experience developing, supporting, and maintaining ETL and database applications. 
• 8+ years of hands-on experience with Informatica PowerCenter or Talend. 
• 3+ years of hands-on experience with Informatica Intelligent Cloud Services (IICS). 
• 3+ years of experience with Control-M or similar workload automation tools. 
• 3+ years of experience with Google Cloud Platform technologies, including Google Cloud Storage and BigQuery. 
• Strong understanding of data warehouse concepts and cloud architecture patterns supporting batch, near real-time, and real-time data processing and reporting. 
• Strong SQL skills, shell scripting experience, and a deep understanding of relational database concepts. 
• Experience with Python, Perl, or other scripting languages. 
• Familiarity with source control, DevOps tool suites, and CI/CD best practices, including Git, GitHub, GitLab, Bitbucket, Bamboo, Jenkins, or Concourse. 
• Strong understanding of Agile development practices and experience using Jira or similar Agile work-tracking tools. 
• Ability to design, build, secure, monitor, and optimize scalable data pipelines and data stores. 
• Experience developing QA processes that support compliance, data quality, and operational reliability. 
• Strong analytical, critical-thinking, and problem-solving skills, with the ability to interpret and understand complex data. 
• Strong verbal, written, and interpersonal communication skills, with the ability to collaborate effectively across all levels of the organization.

Preferred:

• Experience working in financial services or another highly regulated enterprise environment. 
• Experience working directly with Informatica, Google, or other vendors to resolve product or platform issues. 
• Ability to interpret key trends and metrics and translate them into actionable recommendations. 
• Ability to adapt strategies and workflows in response to changing business or technology needs. 
• Experience developing strategic insights from complex data and supporting data-driven decision-making. 
• Strong collaboration skills, with the ability to partner across teams and support cross-functional initiatives. 
• Ability to provide technical guidance, share best practices, and support the growth of peers and team members. 
• Demonstrated ability to identify opportunities for process improvement, automation, and operational efficiency. 
• Ability to communicate ideas clearly and persuasively through verbal presentations and written documentation. 
• Demonstrated commitment to high-quality standards, continuous improvement, and delivery excellence.

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