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JPMorganChase

Data Engineer - Data Domain Architect Associate Senior - Payment Operations

Posted Yesterday
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Hybrid
Plano, TX
Senior level
Hybrid
Plano, TX
Senior level
Provide data architecture leadership for Payments Operations: define metadata, systems of record, data quality, and domain models; design data delivery and analytics capabilities; profile and transform data using Python/PySpark/SQL; collaborate with product, analytics, and tech teams; research emerging technologies and implement data solutions.
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JPMorganChase’s Corporate & Investment Bank (CIB) is a global leader in banking, markets, and investor services, serving corporations, governments, and institutions in more than 100 countries. With $18 trillion in assets under custody and $393 billion in deposits, the CIB provides strategic advice, capital raising, risk management, and liquidity across global markets.

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. Success in the role requires close collaboration with product, analytics, and technology teams, along with strong data/domain expertise, problem-solving ability, 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, PySpark or SQL.
  • 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 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
  • Work with Tech, Product and CIB data partners to research, define, and implement use cases

Required qualifications, capabilities, and skills

  • 5+ years of relevant work experience as a software developer, data/ML engineer, data scientist, business intelligence engineer
  • Minimum of Bachelor’s degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics or other quantitative subject
  • Analytical thinking and problem-solving skills coupled with ability to understand business requirements and to communicate complex information effectively to broad audiences
  • Experience 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 skills
  • Cloud platform knowledge; hands on experience with Databricks or Snowflake
  • Hands-on experience with data modeling
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the TeamJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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