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Domain Data Architect - Finance Data Mart

JP Morgan Chase

Engineering Jobs

Domain Data Architect - Finance Data Mart

full-timePosted: Sep 23, 2025

Job Description

Domain Data Architect - Finance Data Mart

Location: Wilmington, DE, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Finance Data Mart team plays a pivotal role in harnessing data to empower strategic decision-making across our global operations. As a Domain Data Architect - Finance Data Mart, you will join a dynamic group within Analytics Solutions & Delivery, based in Wilmington, DE. Your expertise will be instrumental in architecting robust, cloud-native data solutions that support critical finance functions such as regulatory reporting, risk assessment, and performance analytics. Leveraging cutting-edge technologies, you will design scalable data marts that integrate diverse financial datasets, ensuring accuracy, efficiency, and compliance in a highly regulated environment. This role offers the opportunity to influence the future of data analytics at one of the world's leading financial institutions, driving impactful outcomes for our clients and stakeholders. In this position, you will collaborate closely with finance business leaders, data engineers, and IT partners to translate complex financial requirements into innovative data architectures. You will spearhead the development of domain-specific data models tailored to areas like treasury management, capital markets, and investment banking, utilizing cloud platforms to enable real-time insights and predictive capabilities. Responsibilities include establishing data governance frameworks to meet standards such as SOX and Basel III, while optimizing data pipelines for cost-effectiveness and performance. At JP Morgan Chase, you will contribute to enterprise-wide initiatives that enhance our competitive edge in the financial services industry, fostering a culture of data-driven excellence. We seek a visionary architect passionate about the intersection of finance and technology, with a proven track record in building resilient data ecosystems. This role demands not only technical proficiency but also the ability to navigate the nuances of the financial sector, anticipating evolving regulatory landscapes and business needs. Joining JP Morgan Chase means becoming part of a supportive community that values innovation, diversity, and professional growth, where your contributions will shape the bank's data strategy for years to come.

Key Responsibilities

  • Design and architect scalable data marts for finance domains, ensuring alignment with JP Morgan Chase's enterprise data strategy
  • Collaborate with finance stakeholders to define data requirements and translate business needs into technical specifications
  • Implement cloud-based data solutions using technologies like Snowflake, Databricks, or AWS Redshift to optimize performance and cost
  • Establish data governance policies and ensure compliance with regulatory standards in financial reporting
  • Lead the development of data pipelines for real-time and batch processing of financial metrics and analytics
  • Mentor junior architects and data engineers, fostering a culture of innovation in data analytics
  • Conduct data quality assessments and implement remediation strategies to maintain high integrity in finance data
  • Integrate advanced analytics and AI capabilities into data marts to support decision-making in risk management and forecasting
  • Evaluate and recommend emerging technologies to enhance the finance data ecosystem at JP Morgan Chase
  • Partner with IT and operations teams to deploy and monitor data architectures in production environments

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred
  • 8+ years of experience in data architecture, with at least 5 years focused on financial data systems or data marts
  • Proven expertise in designing and implementing data architectures in cloud environments such as AWS, Azure, or Google Cloud
  • Strong understanding of financial data standards, including GAAP, IFRS, and regulatory reporting requirements
  • Experience with data modeling tools and ETL processes in a large-scale enterprise setting
  • Demonstrated ability to lead cross-functional teams in data projects within the banking or financial services sector
  • Familiarity with data governance frameworks and compliance standards like SOX and GDPR

Preferred Qualifications

  • Experience working at a major financial institution, preferably with exposure to JP Morgan Chase's data ecosystems
  • Certification in cloud architecture (e.g., AWS Certified Solutions Architect) or data management (e.g., CDMP)
  • Background in agile methodologies and DevOps practices for data pipeline development
  • Knowledge of machine learning integration with financial data marts for predictive analytics
  • Prior involvement in finance transformation projects involving big data technologies

Required Skills

  • Data modeling and architecture (e.g., dimensional modeling, ER diagrams)
  • Cloud platforms (AWS, Azure, GCP) with focus on data services
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • ETL/ELT tools (e.g., Informatica, Talend, Apache Airflow)
  • Financial data concepts (e.g., general ledger, P&L statements, risk metrics)
  • Data governance and metadata management
  • Python or Java for data scripting and automation
  • Big data technologies (e.g., Hadoop, Spark)
  • Agile project management and stakeholder communication
  • Problem-solving and analytical thinking
  • Regulatory compliance knowledge in finance
  • Collaboration and team leadership
  • Version control (e.g., Git) and CI/CD pipelines
  • Performance tuning for data warehouses
  • Business acumen in banking and capital markets

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness programs at JP Morgan Chase locations
  • Flexible work arrangements, including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

160,000 - 240,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data modeling and architecture (e.g., dimensional modeling, ER diagrams)intermediate
  • Cloud platforms (AWS, Azure, GCP) with focus on data servicesintermediate
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • ETL/ELT tools (e.g., Informatica, Talend, Apache Airflow)intermediate
  • Financial data concepts (e.g., general ledger, P&L statements, risk metrics)intermediate
  • Data governance and metadata managementintermediate
  • Python or Java for data scripting and automationintermediate
  • Big data technologies (e.g., Hadoop, Spark)intermediate
  • Agile project management and stakeholder communicationintermediate
  • Problem-solving and analytical thinkingintermediate
  • Regulatory compliance knowledge in financeintermediate
  • Collaboration and team leadershipintermediate
  • Version control (e.g., Git) and CI/CD pipelinesintermediate
  • Performance tuning for data warehousesintermediate
  • Business acumen in banking and capital marketsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred (experience)
  • 8+ years of experience in data architecture, with at least 5 years focused on financial data systems or data marts (experience)
  • Proven expertise in designing and implementing data architectures in cloud environments such as AWS, Azure, or Google Cloud (experience)
  • Strong understanding of financial data standards, including GAAP, IFRS, and regulatory reporting requirements (experience)
  • Experience with data modeling tools and ETL processes in a large-scale enterprise setting (experience)
  • Demonstrated ability to lead cross-functional teams in data projects within the banking or financial services sector (experience)
  • Familiarity with data governance frameworks and compliance standards like SOX and GDPR (experience)

Preferred Qualifications

  • Experience working at a major financial institution, preferably with exposure to JP Morgan Chase's data ecosystems (experience)
  • Certification in cloud architecture (e.g., AWS Certified Solutions Architect) or data management (e.g., CDMP) (experience)
  • Background in agile methodologies and DevOps practices for data pipeline development (experience)
  • Knowledge of machine learning integration with financial data marts for predictive analytics (experience)
  • Prior involvement in finance transformation projects involving big data technologies (experience)

Responsibilities

  • Design and architect scalable data marts for finance domains, ensuring alignment with JP Morgan Chase's enterprise data strategy
  • Collaborate with finance stakeholders to define data requirements and translate business needs into technical specifications
  • Implement cloud-based data solutions using technologies like Snowflake, Databricks, or AWS Redshift to optimize performance and cost
  • Establish data governance policies and ensure compliance with regulatory standards in financial reporting
  • Lead the development of data pipelines for real-time and batch processing of financial metrics and analytics
  • Mentor junior architects and data engineers, fostering a culture of innovation in data analytics
  • Conduct data quality assessments and implement remediation strategies to maintain high integrity in finance data
  • Integrate advanced analytics and AI capabilities into data marts to support decision-making in risk management and forecasting
  • Evaluate and recommend emerging technologies to enhance the finance data ecosystem at JP Morgan Chase
  • Partner with IT and operations teams to deploy and monitor data architectures in production environments

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness programs at JP Morgan Chase locations
  • general: Flexible work arrangements, including hybrid options in Wilmington, DE

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JP Morgan Chase logo

Domain Data Architect - Finance Data Mart

JP Morgan Chase

Engineering Jobs

Domain Data Architect - Finance Data Mart

full-timePosted: Sep 23, 2025

Job Description

Domain Data Architect - Finance Data Mart

Location: Wilmington, DE, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Finance Data Mart team plays a pivotal role in harnessing data to empower strategic decision-making across our global operations. As a Domain Data Architect - Finance Data Mart, you will join a dynamic group within Analytics Solutions & Delivery, based in Wilmington, DE. Your expertise will be instrumental in architecting robust, cloud-native data solutions that support critical finance functions such as regulatory reporting, risk assessment, and performance analytics. Leveraging cutting-edge technologies, you will design scalable data marts that integrate diverse financial datasets, ensuring accuracy, efficiency, and compliance in a highly regulated environment. This role offers the opportunity to influence the future of data analytics at one of the world's leading financial institutions, driving impactful outcomes for our clients and stakeholders. In this position, you will collaborate closely with finance business leaders, data engineers, and IT partners to translate complex financial requirements into innovative data architectures. You will spearhead the development of domain-specific data models tailored to areas like treasury management, capital markets, and investment banking, utilizing cloud platforms to enable real-time insights and predictive capabilities. Responsibilities include establishing data governance frameworks to meet standards such as SOX and Basel III, while optimizing data pipelines for cost-effectiveness and performance. At JP Morgan Chase, you will contribute to enterprise-wide initiatives that enhance our competitive edge in the financial services industry, fostering a culture of data-driven excellence. We seek a visionary architect passionate about the intersection of finance and technology, with a proven track record in building resilient data ecosystems. This role demands not only technical proficiency but also the ability to navigate the nuances of the financial sector, anticipating evolving regulatory landscapes and business needs. Joining JP Morgan Chase means becoming part of a supportive community that values innovation, diversity, and professional growth, where your contributions will shape the bank's data strategy for years to come.

Key Responsibilities

  • Design and architect scalable data marts for finance domains, ensuring alignment with JP Morgan Chase's enterprise data strategy
  • Collaborate with finance stakeholders to define data requirements and translate business needs into technical specifications
  • Implement cloud-based data solutions using technologies like Snowflake, Databricks, or AWS Redshift to optimize performance and cost
  • Establish data governance policies and ensure compliance with regulatory standards in financial reporting
  • Lead the development of data pipelines for real-time and batch processing of financial metrics and analytics
  • Mentor junior architects and data engineers, fostering a culture of innovation in data analytics
  • Conduct data quality assessments and implement remediation strategies to maintain high integrity in finance data
  • Integrate advanced analytics and AI capabilities into data marts to support decision-making in risk management and forecasting
  • Evaluate and recommend emerging technologies to enhance the finance data ecosystem at JP Morgan Chase
  • Partner with IT and operations teams to deploy and monitor data architectures in production environments

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred
  • 8+ years of experience in data architecture, with at least 5 years focused on financial data systems or data marts
  • Proven expertise in designing and implementing data architectures in cloud environments such as AWS, Azure, or Google Cloud
  • Strong understanding of financial data standards, including GAAP, IFRS, and regulatory reporting requirements
  • Experience with data modeling tools and ETL processes in a large-scale enterprise setting
  • Demonstrated ability to lead cross-functional teams in data projects within the banking or financial services sector
  • Familiarity with data governance frameworks and compliance standards like SOX and GDPR

Preferred Qualifications

  • Experience working at a major financial institution, preferably with exposure to JP Morgan Chase's data ecosystems
  • Certification in cloud architecture (e.g., AWS Certified Solutions Architect) or data management (e.g., CDMP)
  • Background in agile methodologies and DevOps practices for data pipeline development
  • Knowledge of machine learning integration with financial data marts for predictive analytics
  • Prior involvement in finance transformation projects involving big data technologies

Required Skills

  • Data modeling and architecture (e.g., dimensional modeling, ER diagrams)
  • Cloud platforms (AWS, Azure, GCP) with focus on data services
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • ETL/ELT tools (e.g., Informatica, Talend, Apache Airflow)
  • Financial data concepts (e.g., general ledger, P&L statements, risk metrics)
  • Data governance and metadata management
  • Python or Java for data scripting and automation
  • Big data technologies (e.g., Hadoop, Spark)
  • Agile project management and stakeholder communication
  • Problem-solving and analytical thinking
  • Regulatory compliance knowledge in finance
  • Collaboration and team leadership
  • Version control (e.g., Git) and CI/CD pipelines
  • Performance tuning for data warehouses
  • Business acumen in banking and capital markets

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness programs at JP Morgan Chase locations
  • Flexible work arrangements, including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

160,000 - 240,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data modeling and architecture (e.g., dimensional modeling, ER diagrams)intermediate
  • Cloud platforms (AWS, Azure, GCP) with focus on data servicesintermediate
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • ETL/ELT tools (e.g., Informatica, Talend, Apache Airflow)intermediate
  • Financial data concepts (e.g., general ledger, P&L statements, risk metrics)intermediate
  • Data governance and metadata managementintermediate
  • Python or Java for data scripting and automationintermediate
  • Big data technologies (e.g., Hadoop, Spark)intermediate
  • Agile project management and stakeholder communicationintermediate
  • Problem-solving and analytical thinkingintermediate
  • Regulatory compliance knowledge in financeintermediate
  • Collaboration and team leadershipintermediate
  • Version control (e.g., Git) and CI/CD pipelinesintermediate
  • Performance tuning for data warehousesintermediate
  • Business acumen in banking and capital marketsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred (experience)
  • 8+ years of experience in data architecture, with at least 5 years focused on financial data systems or data marts (experience)
  • Proven expertise in designing and implementing data architectures in cloud environments such as AWS, Azure, or Google Cloud (experience)
  • Strong understanding of financial data standards, including GAAP, IFRS, and regulatory reporting requirements (experience)
  • Experience with data modeling tools and ETL processes in a large-scale enterprise setting (experience)
  • Demonstrated ability to lead cross-functional teams in data projects within the banking or financial services sector (experience)
  • Familiarity with data governance frameworks and compliance standards like SOX and GDPR (experience)

Preferred Qualifications

  • Experience working at a major financial institution, preferably with exposure to JP Morgan Chase's data ecosystems (experience)
  • Certification in cloud architecture (e.g., AWS Certified Solutions Architect) or data management (e.g., CDMP) (experience)
  • Background in agile methodologies and DevOps practices for data pipeline development (experience)
  • Knowledge of machine learning integration with financial data marts for predictive analytics (experience)
  • Prior involvement in finance transformation projects involving big data technologies (experience)

Responsibilities

  • Design and architect scalable data marts for finance domains, ensuring alignment with JP Morgan Chase's enterprise data strategy
  • Collaborate with finance stakeholders to define data requirements and translate business needs into technical specifications
  • Implement cloud-based data solutions using technologies like Snowflake, Databricks, or AWS Redshift to optimize performance and cost
  • Establish data governance policies and ensure compliance with regulatory standards in financial reporting
  • Lead the development of data pipelines for real-time and batch processing of financial metrics and analytics
  • Mentor junior architects and data engineers, fostering a culture of innovation in data analytics
  • Conduct data quality assessments and implement remediation strategies to maintain high integrity in finance data
  • Integrate advanced analytics and AI capabilities into data marts to support decision-making in risk management and forecasting
  • Evaluate and recommend emerging technologies to enhance the finance data ecosystem at JP Morgan Chase
  • Partner with IT and operations teams to deploy and monitor data architectures in production environments

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness programs at JP Morgan Chase locations
  • general: Flexible work arrangements, including hybrid options in Wilmington, DE

Target Your Resume for "Domain Data Architect - Finance Data Mart" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Domain Data Architect - Finance Data Mart. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Domain Data Architect - Finance Data Mart" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Analytics Solutions & DeliveryFinancial ServicesBankingJP MorganAnalytics Solutions & Delivery

Answer 10 quick questions to check your fit for Domain Data Architect - Finance Data Mart @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.