Data Engineering Lead
$150,000–$200,000 year
On-siteAustin, Texas, United States
Austin, Texas, United StatesOn-siteFull Time$150,000–$200,000 yearSenior LevelEnterprise
Full TimeSenior LevelEnterprise
Job Summary
Lead strategic data pipeline development and drive Agile delivery for Schwab's Operational Data Exchange platform. Provide hands-on technical leadership, mentoring team members, and decomposing stories to ensure high-quality software releases. Collaborate with stakeholders across Product, QA, and Technology Operations to prioritize tasks, mitigate risks, and streamline existing systems for stability. Create deployment artifacts, coordinate onshore-offshore development, and implement security controls to protect sensitive financial data. Align business needs with technical solutions to reduce time to market and enable scalable, client-centric data architecture.
Required Qualifications
- Expertise in ETL development
- Data Architecture
- Data Modeling
- 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)
- Python coding skills
- Used AI in development lifecycle to gain efficiency
- Business Analysis experience to perform data analysis and guide analysts to translate business requirements to data mapping
- Exceptional track record in delivering results and business outcomes
- Master's or bachelor's degree in computer science, Information Technology or similar/equivalent area of study
- Minimum of 5 years working in the financial services industry
- Minimum of 10-12 years of solid data engineering experience
- Minimum of 3 years strategic project leadership and delivery 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
- Good understanding of latest Architecture and Development Standards and Guidelines
- Willingness to learn new skills and keep up with technology changes in future to meet business needs
- Demonstrated ability to disagree, debate your case with data, and commit to deliver regardless of the outcome
- Excellent verbal and written communication skills required for composing and delivering technical presentations or other forms of documentation to various levels of technical and non-technical management
- Prior experience working with vendor resources in an onshore-offshore model and driving delivery and collaboration for maximum output
- Implement data security controls and access management policies to protect sensitive information
- Minimum of 5 years working in the financial services industry
- Minimum of 10-12 years of solid data engineering experience
- Minimum of 3 years strategic project leadership and delivery 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
- Good understanding of latest Architecture and Development Standards and Guidelines
- Willingness to learn new skills and keep up with technology changes in future to meet business needs
- Demonstrated ability to disagree, debate your case with data, and commit to deliver regardless of the outcome
- Excellent verbal and written communication skills required for composing and delivering technical presentations or other forms of documentation to various levels of technical and non-technical management
- Prior experience working with vendor resources in an onshore-offshore model and driving delivery and collaboration for maximum output
- Implement data security controls and access management policies to protect sensitive information
- This position could be located in Austin, TX
- This position will be located in our Southlake, TX location
Desired Qualifications
- Experience working with and sourcing data from Corporate Systems like Workday, BMC Remedy Helix, Jira, Rally, etc.
- Experience providing guidance, direction, and feedback to other technical staff to meet agreed upon objectives
- Ability to analyze, propose and implement timely, cost effective, quality solutions for all issues or problems within area of responsibility
- Proficient managing multiple priorities in a well-organized, dynamic, geographically dispersed environment
- Experience implementing streaming and event driven solutions using Confluent Kafka
- Data Visualization including report design, use or reporting tools
- Experience in dev tools such as GitHub, Bamboo, Liquibase
- Experience and demonstrate proficiency in cloud-based technologies (GCP preferred)
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