Data Architect - Hybrid

Your opportunity

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.

The Data Architect role will be part of Wealth Asset Management Engineering (WAME) which is part of Schwab Technology Services (STS). The role will provide technical expertise to the WAME Distributions & Operations team and is responsible for end-to-end data integration solutions that supports Distribution & Operations data platforms.

The role will be a key player in the implementation and integration of modern applications that support business capabilities and build highly scalable data pipelines. The role will be responsible for formulating the sales data strategy, including standards of data quality, the flow of data within the environment, and security of data. This role will facilitate data modeling and designs with business and technical users, identifying and profiling data sources, analyzing the business and technical requirements, and creating data models and solution design to meet Sales business needs. This individual must be an experienced, strong data architect and be focused on assessing our environment and requirements to design data integrations in conformance to best practices.

This role will also lead the design of a new data strategy based on a migration to the public cloud for our data sources and our own environment and technology stack.

What you have

This role requires a highly motivated and experienced Data Architect who has designed and implemented cross enterprise data platforms both cloud-based and on-premises. They will be responsible for designing, implementing, and optimizing data architectures to ensure the availability, scalability, and reliability of our data solutions. This individual will have pride of ownership reflected through well documented architecture design, the ability to review existing state and offer alternative solutions and a disciplined software development approach. The candidate will be expected to help build a robust data engineering and architecture practice, dedicating time to mentoring and training of data engineers within the team. The individual will need to display thought leadership through understanding the key business objectives and strategically providing data integration solutions to support the data domain within the larger data strategy of the organization.

Required Qualifications:

• 12+ years of experience in data architecture/engineering role for large scale enterprise class data platform
• 5+ years of experience working in Finance/Banking/Investment Management related projects
• Deep understanding of data ingestion pipelines, data modeling, data acquisitions, storage, integration and data migration
• Proficiency in designing and optimizing large-scale data architectures, including the use of cloud platforms
• Strong technical expertise with MS SQL Server, Google Cloud Platform, BigQuery and SnowFlake
• Proven track record of implementations using Informatica PowerCenter, IICS, Python, GCP DataFlow
• Experience or knowledge of Continuous Integration, Continuous Delivery, and DevOps practices
• Understanding best practices of data governance, security, data quality, and compliance requirements
• Excellent problem-solving skills, with the ability to design efficient and scalable solutions

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