You are a strategic thinker passionate about driving solutions in Data Domain Architect . You have found the right team.

Join our dynamic team as a Data Domain Architect, where you'll play a strategic role in the rapidly evolving Payments Operations industry. This role offers the opportunity to provide data architecture leadership and strategy within the Strategy, Innovation & Digitization Data team. You'll collaborate closely with product, analytics, and technology teams, making this role perfect for a motivated team member with a passion for data and problem-solving.

As a Data Engineer – Associate Payment Operations within the Payments Operations organization, you will be responsible for providing data architecture leadership and strategy, and solutions data engineering use cases focused on data analytics, metrics and insights across Payments Operations. This role is ideal for a highly motivated team member with a strong passion for data, problem solving, and domain knowledge as well as strong interpersonal and communication skills.

Job Responsibilities:

Facilitate requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs for Payments Operations.Define data (metadata), identify systems of record and authoritative sources, create data quality rules, create data flow diagrams, and apply firm-wide standards and controls.Create conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects; consult enterprise and industry models.Profile, wrangle, and prepare data from diverse sources to support analytical efforts; write data transformation logic in languages such as Python, SAS, or Scala.Conduct business process analysis and identify data needed to support the processes.  Determine whether the requested data is fit for use within a given process.Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm.Work with Tech, Product and CIB data partners to research, define, and implement use casesWork closely with data analytics and data product owner staff across our team to understand requirements and partner to optimize solutions and develop / foster new ideas

Required qualifications, capabilities and skills:

3+ years of relevant work experience as a software developer, data/ML engineer, data scientist, business intelligence engineerMinimum of Bachelor’s degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics or other quantitative subjectAnalytical thinking and problem-solving skills coupled with ability to understand business requirements and to communicate complex information effectively to broad audiencesExperience or knowledge in at least one data technology; i.e., data warehousing, ETL, data quality concepts, Business Intelligence tools and analytical tools,  unstructured data, machine learning, etc.Experience using common relational database systems; i.e., Teradata and Oracle with strong SQL skillsCloud platform knowledge; hands on experience with Databricks or SnowflakeHands-on experience with data modelingKnowledge of the SQL, SAS or Scala, and Python languagesKnowledge of Advanced Statistics Domain Expertise