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Data Domain Architect - Associate

JP Morgan Chase

Engineering Jobs

Data Domain Architect - Associate

full-timePosted: Dec 4, 2025

Job Description

Data Domain Architect - Associate

Location: Bengaluru, Karnataka, India

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, and our Data Domain Architect - Associate role in the Analytics Solutions & Delivery team plays a pivotal part in driving data-driven decisions for our Marketing Finance function. Based in Bengaluru, Karnataka, India, this position involves building and optimizing robust data products and analytical solutions that empower marketing strategies with precise financial insights. You will collaborate closely with cross-functional stakeholders to translate complex business needs into scalable data architectures, ensuring alignment with JP Morgan's commitment to excellence in client services and operational efficiency. In a dynamic environment where data fuels everything from customer engagement campaigns to budget forecasting, your expertise will help mitigate risks and uncover opportunities in the competitive financial landscape. As a Data Domain Architect - Associate, you will lead the design of data ecosystems that integrate diverse sources like transaction histories, market trends, and campaign performance metrics, all while adhering to stringent regulatory requirements such as those from the RBI and global standards. Your responsibilities will include optimizing data pipelines for real-time analytics, implementing governance protocols to safeguard sensitive information, and fostering innovation through emerging technologies like AI-driven forecasting. Working within JP Morgan's global network, you will contribute to projects that enhance marketing ROI and support sustainable growth, collaborating with teams across regions to deliver solutions that reflect our firm's reputation for reliability and forward-thinking leadership in banking. This role offers a unique opportunity to grow within one of the world's largest financial institutions, where your contributions directly impact high-stakes marketing finance initiatives. We value diverse perspectives and provide a supportive culture that encourages continuous learning and professional advancement. If you are passionate about leveraging data to solve real-world financial challenges and thrive in a collaborative, high-impact setting, join us at JP Morgan Chase to architect the future of analytics in finance.

Key Responsibilities

  • Design and architect scalable data products and analytical solutions tailored to Marketing Finance needs at JP Morgan Chase
  • Collaborate with stakeholders including marketing teams, finance analysts, and IT groups to gather requirements and define data strategies
  • Optimize data pipelines and models to ensure high performance, accuracy, and compliance with regulatory standards in the financial industry
  • Lead the integration of diverse data sources, such as customer transaction data and campaign metrics, into unified analytical platforms
  • Develop and maintain data governance frameworks to support secure and ethical use of financial data
  • Conduct data quality assessments and implement remediation strategies to enhance decision-making for marketing initiatives
  • Mentor junior team members on best practices in data architecture and contribute to knowledge-sharing within the Analytics Solutions & Delivery team
  • Monitor emerging technologies and trends in data analytics to recommend innovations for JP Morgan's marketing finance operations
  • Support the creation of dashboards and reports that provide actionable insights for business growth and risk mitigation
  • Ensure all solutions align with JP Morgan's enterprise architecture and contribute to overall data ecosystem maturity

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Master's degree preferred
  • 5+ years of experience in data architecture, data modeling, or data engineering roles within the financial services industry
  • Proven track record of designing and implementing data products and analytical solutions for business functions like marketing or finance
  • Strong understanding of data governance, compliance standards (e.g., GDPR, SOX), and risk management in banking environments
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, with a focus on data storage and analytics
  • Familiarity with agile methodologies and cross-functional collaboration in large-scale enterprise settings
  • Ability to handle sensitive financial data with a commitment to ethical practices and confidentiality

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar
  • Certification in data architecture (e.g., Certified Data Management Professional) or cloud technologies
  • Background in marketing analytics or finance operations within the banking sector
  • Knowledge of machine learning frameworks for predictive analytics in customer engagement
  • Prior involvement in data migration projects for legacy financial systems

Required Skills

  • Data modeling and architecture (e.g., ER diagrams, dimensional modeling)
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • ETL/ELT tools (e.g., Apache Airflow, Talend)
  • Big data technologies (e.g., Hadoop, Spark)
  • Cloud data services (e.g., AWS S3, Azure Synapse)
  • Python or Java for data scripting and automation
  • Data visualization tools (e.g., Tableau, Power BI)
  • Knowledge of financial regulations and compliance (e.g., Basel III, data privacy laws)
  • Agile and Scrum methodologies
  • Stakeholder management and communication skills
  • Problem-solving and analytical thinking
  • Attention to detail in data quality and integrity
  • Project management for data initiatives
  • Machine learning basics for analytical enhancements
  • Collaboration tools (e.g., Jira, Confluence)

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development opportunities through JP Morgan's learning programs and certifications
  • Employee stock purchase plan and financial wellness resources
  • Flexible work arrangements, including hybrid options in Bengaluru
  • Access to on-site fitness centers, wellness programs, and employee assistance services

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangemedium confidence

25,000,000 - 45,000,000 INR / 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., ER diagrams, dimensional modeling)intermediate
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • ETL/ELT tools (e.g., Apache Airflow, Talend)intermediate
  • Big data technologies (e.g., Hadoop, Spark)intermediate
  • Cloud data services (e.g., AWS S3, Azure Synapse)intermediate
  • Python or Java for data scripting and automationintermediate
  • Data visualization tools (e.g., Tableau, Power BI)intermediate
  • Knowledge of financial regulations and compliance (e.g., Basel III, data privacy laws)intermediate
  • Agile and Scrum methodologiesintermediate
  • Stakeholder management and communication skillsintermediate
  • Problem-solving and analytical thinkingintermediate
  • Attention to detail in data quality and integrityintermediate
  • Project management for data initiativesintermediate
  • Machine learning basics for analytical enhancementsintermediate
  • Collaboration tools (e.g., Jira, Confluence)intermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Master's degree preferred (experience)
  • 5+ years of experience in data architecture, data modeling, or data engineering roles within the financial services industry (experience)
  • Proven track record of designing and implementing data products and analytical solutions for business functions like marketing or finance (experience)
  • Strong understanding of data governance, compliance standards (e.g., GDPR, SOX), and risk management in banking environments (experience)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, with a focus on data storage and analytics (experience)
  • Familiarity with agile methodologies and cross-functional collaboration in large-scale enterprise settings (experience)
  • Ability to handle sensitive financial data with a commitment to ethical practices and confidentiality (experience)

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar (experience)
  • Certification in data architecture (e.g., Certified Data Management Professional) or cloud technologies (experience)
  • Background in marketing analytics or finance operations within the banking sector (experience)
  • Knowledge of machine learning frameworks for predictive analytics in customer engagement (experience)
  • Prior involvement in data migration projects for legacy financial systems (experience)

Responsibilities

  • Design and architect scalable data products and analytical solutions tailored to Marketing Finance needs at JP Morgan Chase
  • Collaborate with stakeholders including marketing teams, finance analysts, and IT groups to gather requirements and define data strategies
  • Optimize data pipelines and models to ensure high performance, accuracy, and compliance with regulatory standards in the financial industry
  • Lead the integration of diverse data sources, such as customer transaction data and campaign metrics, into unified analytical platforms
  • Develop and maintain data governance frameworks to support secure and ethical use of financial data
  • Conduct data quality assessments and implement remediation strategies to enhance decision-making for marketing initiatives
  • Mentor junior team members on best practices in data architecture and contribute to knowledge-sharing within the Analytics Solutions & Delivery team
  • Monitor emerging technologies and trends in data analytics to recommend innovations for JP Morgan's marketing finance operations
  • Support the creation of dashboards and reports that provide actionable insights for business growth and risk mitigation
  • Ensure all solutions align with JP Morgan's enterprise architecture and contribute to overall data ecosystem maturity

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development opportunities through JP Morgan's learning programs and certifications
  • general: Employee stock purchase plan and financial wellness resources
  • general: Flexible work arrangements, including hybrid options in Bengaluru
  • general: Access to on-site fitness centers, wellness programs, and employee assistance services

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JP Morgan Chase logo

Data Domain Architect - Associate

JP Morgan Chase

Engineering Jobs

Data Domain Architect - Associate

full-timePosted: Dec 4, 2025

Job Description

Data Domain Architect - Associate

Location: Bengaluru, Karnataka, India

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, and our Data Domain Architect - Associate role in the Analytics Solutions & Delivery team plays a pivotal part in driving data-driven decisions for our Marketing Finance function. Based in Bengaluru, Karnataka, India, this position involves building and optimizing robust data products and analytical solutions that empower marketing strategies with precise financial insights. You will collaborate closely with cross-functional stakeholders to translate complex business needs into scalable data architectures, ensuring alignment with JP Morgan's commitment to excellence in client services and operational efficiency. In a dynamic environment where data fuels everything from customer engagement campaigns to budget forecasting, your expertise will help mitigate risks and uncover opportunities in the competitive financial landscape. As a Data Domain Architect - Associate, you will lead the design of data ecosystems that integrate diverse sources like transaction histories, market trends, and campaign performance metrics, all while adhering to stringent regulatory requirements such as those from the RBI and global standards. Your responsibilities will include optimizing data pipelines for real-time analytics, implementing governance protocols to safeguard sensitive information, and fostering innovation through emerging technologies like AI-driven forecasting. Working within JP Morgan's global network, you will contribute to projects that enhance marketing ROI and support sustainable growth, collaborating with teams across regions to deliver solutions that reflect our firm's reputation for reliability and forward-thinking leadership in banking. This role offers a unique opportunity to grow within one of the world's largest financial institutions, where your contributions directly impact high-stakes marketing finance initiatives. We value diverse perspectives and provide a supportive culture that encourages continuous learning and professional advancement. If you are passionate about leveraging data to solve real-world financial challenges and thrive in a collaborative, high-impact setting, join us at JP Morgan Chase to architect the future of analytics in finance.

Key Responsibilities

  • Design and architect scalable data products and analytical solutions tailored to Marketing Finance needs at JP Morgan Chase
  • Collaborate with stakeholders including marketing teams, finance analysts, and IT groups to gather requirements and define data strategies
  • Optimize data pipelines and models to ensure high performance, accuracy, and compliance with regulatory standards in the financial industry
  • Lead the integration of diverse data sources, such as customer transaction data and campaign metrics, into unified analytical platforms
  • Develop and maintain data governance frameworks to support secure and ethical use of financial data
  • Conduct data quality assessments and implement remediation strategies to enhance decision-making for marketing initiatives
  • Mentor junior team members on best practices in data architecture and contribute to knowledge-sharing within the Analytics Solutions & Delivery team
  • Monitor emerging technologies and trends in data analytics to recommend innovations for JP Morgan's marketing finance operations
  • Support the creation of dashboards and reports that provide actionable insights for business growth and risk mitigation
  • Ensure all solutions align with JP Morgan's enterprise architecture and contribute to overall data ecosystem maturity

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Master's degree preferred
  • 5+ years of experience in data architecture, data modeling, or data engineering roles within the financial services industry
  • Proven track record of designing and implementing data products and analytical solutions for business functions like marketing or finance
  • Strong understanding of data governance, compliance standards (e.g., GDPR, SOX), and risk management in banking environments
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, with a focus on data storage and analytics
  • Familiarity with agile methodologies and cross-functional collaboration in large-scale enterprise settings
  • Ability to handle sensitive financial data with a commitment to ethical practices and confidentiality

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar
  • Certification in data architecture (e.g., Certified Data Management Professional) or cloud technologies
  • Background in marketing analytics or finance operations within the banking sector
  • Knowledge of machine learning frameworks for predictive analytics in customer engagement
  • Prior involvement in data migration projects for legacy financial systems

Required Skills

  • Data modeling and architecture (e.g., ER diagrams, dimensional modeling)
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • ETL/ELT tools (e.g., Apache Airflow, Talend)
  • Big data technologies (e.g., Hadoop, Spark)
  • Cloud data services (e.g., AWS S3, Azure Synapse)
  • Python or Java for data scripting and automation
  • Data visualization tools (e.g., Tableau, Power BI)
  • Knowledge of financial regulations and compliance (e.g., Basel III, data privacy laws)
  • Agile and Scrum methodologies
  • Stakeholder management and communication skills
  • Problem-solving and analytical thinking
  • Attention to detail in data quality and integrity
  • Project management for data initiatives
  • Machine learning basics for analytical enhancements
  • Collaboration tools (e.g., Jira, Confluence)

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development opportunities through JP Morgan's learning programs and certifications
  • Employee stock purchase plan and financial wellness resources
  • Flexible work arrangements, including hybrid options in Bengaluru
  • Access to on-site fitness centers, wellness programs, and employee assistance services

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangemedium confidence

25,000,000 - 45,000,000 INR / 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., ER diagrams, dimensional modeling)intermediate
  • SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • ETL/ELT tools (e.g., Apache Airflow, Talend)intermediate
  • Big data technologies (e.g., Hadoop, Spark)intermediate
  • Cloud data services (e.g., AWS S3, Azure Synapse)intermediate
  • Python or Java for data scripting and automationintermediate
  • Data visualization tools (e.g., Tableau, Power BI)intermediate
  • Knowledge of financial regulations and compliance (e.g., Basel III, data privacy laws)intermediate
  • Agile and Scrum methodologiesintermediate
  • Stakeholder management and communication skillsintermediate
  • Problem-solving and analytical thinkingintermediate
  • Attention to detail in data quality and integrityintermediate
  • Project management for data initiativesintermediate
  • Machine learning basics for analytical enhancementsintermediate
  • Collaboration tools (e.g., Jira, Confluence)intermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Master's degree preferred (experience)
  • 5+ years of experience in data architecture, data modeling, or data engineering roles within the financial services industry (experience)
  • Proven track record of designing and implementing data products and analytical solutions for business functions like marketing or finance (experience)
  • Strong understanding of data governance, compliance standards (e.g., GDPR, SOX), and risk management in banking environments (experience)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, with a focus on data storage and analytics (experience)
  • Familiarity with agile methodologies and cross-functional collaboration in large-scale enterprise settings (experience)
  • Ability to handle sensitive financial data with a commitment to ethical practices and confidentiality (experience)

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar (experience)
  • Certification in data architecture (e.g., Certified Data Management Professional) or cloud technologies (experience)
  • Background in marketing analytics or finance operations within the banking sector (experience)
  • Knowledge of machine learning frameworks for predictive analytics in customer engagement (experience)
  • Prior involvement in data migration projects for legacy financial systems (experience)

Responsibilities

  • Design and architect scalable data products and analytical solutions tailored to Marketing Finance needs at JP Morgan Chase
  • Collaborate with stakeholders including marketing teams, finance analysts, and IT groups to gather requirements and define data strategies
  • Optimize data pipelines and models to ensure high performance, accuracy, and compliance with regulatory standards in the financial industry
  • Lead the integration of diverse data sources, such as customer transaction data and campaign metrics, into unified analytical platforms
  • Develop and maintain data governance frameworks to support secure and ethical use of financial data
  • Conduct data quality assessments and implement remediation strategies to enhance decision-making for marketing initiatives
  • Mentor junior team members on best practices in data architecture and contribute to knowledge-sharing within the Analytics Solutions & Delivery team
  • Monitor emerging technologies and trends in data analytics to recommend innovations for JP Morgan's marketing finance operations
  • Support the creation of dashboards and reports that provide actionable insights for business growth and risk mitigation
  • Ensure all solutions align with JP Morgan's enterprise architecture and contribute to overall data ecosystem maturity

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development opportunities through JP Morgan's learning programs and certifications
  • general: Employee stock purchase plan and financial wellness resources
  • general: Flexible work arrangements, including hybrid options in Bengaluru
  • general: Access to on-site fitness centers, wellness programs, and employee assistance services

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

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

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

Check Your ATS Score for "Data Domain Architect - Associate" , 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 Data Domain Architect - Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.