Senior Data Engineer - Cloud Data Platform

About the role

Your opportunity at Schwab is to lead the way in shaping scalable, high-performing data solutions that enable business intelligence and strategic decision-making across the organization. You will design, develop, and deliver modern data pipelines and cloud-based data architectures that support batch, near real-time, and real-time data processing. You will partner closely with business stakeholders to translate strategic objectives into technical solutions, collaborating with architects to define architecture patterns that meet both functional and non-functional requirements.

Responsibilities

• Evaluate and introduce new tools and technologies, leading proof-of-concept efforts, and recommending improvements to enhance the enterprise data ecosystem.
• Work cross-functionally with engineering teams, product vendors, and global delivery partners to ensure the stability, scalability, and performance of data platforms while proactively addressing delivery risks and implementing solutions to maintain momentum.
• Contribute to planning, estimation, and prioritization of technical initiatives while establishing standards, best practices, and governance for data engineering and development processes.
• Drive data modeling, ETL development, performance tuning, and system optimization efforts, ensuring alignment with enterprise architecture and development methodologies.
• Mentor team members, providing hands-on technical leadership, and fostering a culture of continuous improvement, collaboration, and innovation.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 10+ years of experience in ETL development, database engineering, and data platform support
• 8+ years of hands-on experience with Informatica PowerCenter
• 3+ years of experience with Informatica Intelligent Cloud Services (IICS) / IDMC
• 3+ years of experience with Control-M or similar workload automation tools
• 3+ years of experience working with Google Cloud Platform (GCS, BigQuery)
• Strong expertise in SQL, relational databases, and data modeling concepts
• Experience with Python, Perl, or other scripting languages for data processing and automation
• Knowledge of data warehousing concepts and cloud-based architecture patterns supporting batch and real-time data processing
• Experience with Agile development practices and tools such as Jira
• Familiarity with source control, DevOps practices, and CI/CD pipelines (e.g., Git, Jenkins, Bamboo, Concourse)
• Strong analytical, problem-solving, and critical-thinking skills with the ability to interpret and work with complex data sets
• Effective communication and collaboration skills, with experience working across cross-functional and distributed teams

Qualifications

• Experience in financial services or highly regulated industries
• Experience collaborating directly with vendors such as Informatica or Google to troubleshoot and resolve platform issues
• Ability to interpret trends, metrics, and data insights to inform business and technical decisions

Skills

• Expertise in Informatica PowerCenter and Intelligent Cloud Services (IICS) / IDMC
• Proficiency with Control-M or similar workload automation tools
• Experience with Google Cloud Platform (GCS, BigQuery)
• Strong understanding of SQL, relational databases, and data modeling concepts
• Experience with Python, Perl, or other scripting languages for data processing and automation
• Knowledge of data warehousing concepts and cloud-based architecture patterns supporting batch and real-time data processing
• Experience with Agile development practices and tools such as Jira
• Familiarity with source control, DevOps practices, and CI/CD pipelines (e.g., Git, Jenkins, Bamboo, Concourse)
• Strong analytical, problem-solving, and critical-thinking skills with the ability to interpret and work with complex data sets
• Effective communication and collaboration skills, with experience working across cross-functional and distributed teams

Benefits

• 401(k) with company match and Employee stock purchase plan
• Paid time off for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance