Data Platform Lead | ETL, Data Quality & BigQuery

The Charles Schwab Corporation; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

401(k) match

Health, dental, vision insurance

Tuition reimbursement

Paid time off + sabbatical

Job summary

The Charles Schwab Corporation is seeking a data technology lead to steer a team of engineers building a robust enterprise data platform. The role focuses on end-to-end data pipelines, data quality, and governance, with a hands‑on leadership style and strong collaboration across technology and business teams.

Based in Austin, TX, the ideal candidate brings 8+ years in data engineering, 2+ years of project leadership, and a strong background in financial services.

Qualifications

• Expertise in ETL development, Data Quality, Best Practices, Exception Handling.
• SQL, Google Cloud Products including BigQuery, Cloud Storage, Dataflow, Composer, Pub/Sub, SQL Server Integration Services.
• Expertise in Informatica (IDMC/IICS) and Python coding skills.
• Used AI in development lifecycle to gain efficiency.
• Business Analysis experience to perform data analysis to translate business requirements to data mapping.
• Exceptional track record in delivering results and business outcomes.
• Experience in maturing teams at different levels.
• Masters or bachelor’s degree in computer science, Information Technology or similar/equivalent area of study.
• 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 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 in future to meet business needs.
• Prior experience working in an onshore offshore model driving development outcomes.

Responsibilities

• Provide technical and project leadership to data pipeline development.
• Understand the needs of the business and using this knowledge to align on a solution and drive delivery.
• Drive Agile development supporting organization priorities and innovation.
• Collaborate with analysts, and other 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 (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.
• Implement data validation and quality checks to ensure accuracy and consistency.
• Mentoring junior team members to ensure team and project success.
• Implement data security controls and access management policies to protect sensitive information.
• Drive outcomes and team performance and collaborate with all to achieve results.
• Work closely with development, product owner and team members to decompose stories, design features, and prioritize tasks.
• 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.
• 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.
• Identify technology risks and dependencies early to establish mitigation plans.
• Create and maintain artifacts for production support and deployment processes and ensure smooth hand off to support teams.
• Meet periodically with onshore and offshore developers and application support to review and improve processes.
• Demonstrated ability to disagree, debate your case with data, and commit to deliver regardless of the outcome.

Skills

ETL development

Data Quality

Best Practices

Exception Handling

SQL

BigQuery

Dataflow

Composer

Pub/Sub

Informatica IDMC/IICS

Python

AI in development lifecycle

Data Analysis

Data Warehouse concepts

Metadata management

Education

Masters or bachelor’s degree in computer science/Information Technology or equivalent

Tools

Google Cloud BigQuery

Google Cloud Dataflow

Google Cloud Cloud Storage

Google Cloud Composer

Google Pub/Sub

SSIS (SQL Server Integration Services)

Informatica IDMC/IICS

Python

GitHub

Bamboo

Liquibase

Job description

The Charles Schwab Corporation is seeking a data technology lead to steer a team of engineers building a robust enterprise data platform. The role focuses on end-to-end data pipelines, data quality, and governance, with a hands‑on leadership style and strong collaboration across technology and business teams.

Based in Austin, TX, the ideal candidate brings 8+ years in data engineering, 2+ years of project leadership, and a strong background in financial services.