As a Data Domain Architect, you'll design data architectures, collaborate with stakeholders, and implement ETL processes while ensuring data governance.
Job Description
You are a strategic thinker passionate about driving solutions in Analytics. You have found the right team.
As a Data Domain Architect - Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm.
Job Responsibilities
• Design and implement comprehensive and efficient data mart schemas that consolidate key data categories from various source systems, tailored to the needs of the Marketing Finance & Business Management functions. • Collaborate with Business stakeholders to understand requirement and accordingly map source & calculation logic • Collaborate with cross-functional teams, including data engineers, data analysts, and technical specialists, to gather and analyze business requirements. • Develop, implement, and optimize data workflows, Extract Transform Load (ETL) processes, and data pipelines using Databricks.• Utilizing Databricks and ThoughtSpot tools, create a robust and efficient reporting environment for PXT Finance data analytics and reporting.• Work closely with your business domain Product teams and business stakeholders to: 1) design and develop insightful reporting and analytics solutions that drive informed decision-making; 2) apply design led thinking to meet their needs, including making data discoverable and accessible for analytical needs.• Maintain up-to-date documentation on data mart architecture, data models, ETL processes, and data governance policies.
Required qualifications, capabilities and skills
• Overall 8+ years of experience in Data Management, data Engineering, data lineage, data dictionaries, and making data discoverable• Strong knowledge and experience with data Engineering, data lineage, data dictionaries, and making data discoverable• Good Knowledge of data architecture, data warehousing, and data integration, with a focus on the retail banking or financial services industry. • Expertise in designing and implementing scalable and efficient data mart architectures, including star schema, snowflake schema, and other data modeling techniques.• Bachelor's degree in Computer Science, Information System, or related discipline• Experience with Python, Databricks, Snowflake, or other Cloud Data Warehouse, Data Engineering, Data Modeling, ERWIN• Proven track record of successfully managing and delivering complex data projects in a fast-paced, dynamic environment.• ThoughtSpot, Tableau, Alteryx, or Essbase experience
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 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.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
You are a strategic thinker passionate about driving solutions in Analytics. You have found the right team.
As a Data Domain Architect - Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm.
Job Responsibilities
• Design and implement comprehensive and efficient data mart schemas that consolidate key data categories from various source systems, tailored to the needs of the Marketing Finance & Business Management functions. • Collaborate with Business stakeholders to understand requirement and accordingly map source & calculation logic • Collaborate with cross-functional teams, including data engineers, data analysts, and technical specialists, to gather and analyze business requirements. • Develop, implement, and optimize data workflows, Extract Transform Load (ETL) processes, and data pipelines using Databricks.• Utilizing Databricks and ThoughtSpot tools, create a robust and efficient reporting environment for PXT Finance data analytics and reporting.• Work closely with your business domain Product teams and business stakeholders to: 1) design and develop insightful reporting and analytics solutions that drive informed decision-making; 2) apply design led thinking to meet their needs, including making data discoverable and accessible for analytical needs.• Maintain up-to-date documentation on data mart architecture, data models, ETL processes, and data governance policies.
Required qualifications, capabilities and skills
• Overall 8+ years of experience in Data Management, data Engineering, data lineage, data dictionaries, and making data discoverable• Strong knowledge and experience with data Engineering, data lineage, data dictionaries, and making data discoverable• Good Knowledge of data architecture, data warehousing, and data integration, with a focus on the retail banking or financial services industry. • Expertise in designing and implementing scalable and efficient data mart architectures, including star schema, snowflake schema, and other data modeling techniques.• Bachelor's degree in Computer Science, Information System, or related discipline• Experience with Python, Databricks, Snowflake, or other Cloud Data Warehouse, Data Engineering, Data Modeling, ERWIN• Proven track record of successfully managing and delivering complex data projects in a fast-paced, dynamic environment.• ThoughtSpot, Tableau, Alteryx, or Essbase experience
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 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.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Top Skills
Alteryx
Databricks
Erwin
Python
Snowflake
Tableau
Thoughtspot
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