Data Engineer - Data Domain Architect Associate Senior - Payment Operations
About The Position
As a Data Domain Architect in the Strategy, Innovation & Governance Data team within Payments Operations, you will provide data architecture leadership and strategy. You will support solutions and data engineering use cases focused on analytics, metrics, and insights across Payments Operations. The role involves close collaboration with product, analytics, and technology teams and calls for strong data and domain expertise, problem-solving ability, and communication skills. This position is based in the office five days a week and is not remote or hybrid. It is not eligible for visa sponsorship now or in the future.
Requirements
- At least 5 years of relevant work experience as a software developer, data or machine learning engineer, data scientist, or business intelligence engineer.
- Bachelor’s degree or higher in Computer Science, Financial Engineering, MIS, Mathematics, Statistics, or another quantitative subject.
- Analytical thinking and problem-solving skills, with the ability to understand business requirements and communicate complex information effectively to broad audiences.
- Experience or knowledge in at least one data technology area, such as data warehousing, ETL, data quality concepts, Business Intelligence or analytics tools, unstructured data, or machine learning.
- Experience using common relational database systems, such as Teradata and Oracle, with strong SQL skills.
- Cloud platform knowledge and hands-on experience with Databricks or Snowflake.
- Hands-on experience with data modeling.
Responsibilities
- Facilitate requirements definition, design, testing, and implementation of data delivery and analytic capabilities that address Payments Operations business needs.
- Define data metadata, identify systems of record and authoritative sources, create data quality rules and data flow diagrams, and apply firm-wide standards and controls.
- Create conceptual and logical data models for a domain and use them to inform physical design of data-related projects, consulting enterprise and industry models.
- Profile, wrangle, and prepare data from diverse sources for analytics, and write transformation logic using languages such as Python, PySpark, or SQL.
- Conduct business process analysis, identify the data needed to support processes, and determine whether requested data is fit for use.
- Research and develop with emerging technologies, assess their applicability to business use cases, and document and communicate recommended uses within the firm.
- Collaborate with data analytics and data product owner staff to understand requirements, optimize solutions, and develop or foster new ideas.
- Work with Technology, Product, and CIB data partners to research, define, and implement use cases.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
