JPMorganChase
Data Domain Architect Lead- Operations Product
JPMorganChase, Wilmington, Delaware, us, 19894
Data Domain Architect Lead- Operations Product
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Data Domain Architect Lead- Operations Product
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JPMorganChase Overview
As a Data Domain Architect Lead- Operations Product in Workforce Planning, you will be responsible for making quick assessments and understanding unstructured problems to develop practical problem-solving strategies. You will rely on your strong background in data analysis, particularly with Alteryx workflows, and relational database skills to interpret and reverse engineer legacy processes. You will work in a highly-collaborative, inclusive environment that values relationship-building, strategic thinking and solution-oriented approaches, with opportunities to contribute to process improvements and key initiatives. Responsibilities
Analyze and interpret complex data sets using Alteryx, Databricks, and Notebooks to uncover trends, anomalies, and actionable insights for business operations. Develop and maintain Python scripts for data automation, transformation, and testing; design and manage automated scheduling solutions for data workflows (e.g., Airflow, Control M). Reverse engineer existing processes and workflows to improve efficiency and scalability; collaborate with end users to gather requirements and understand business needs. Develop and maintain comprehensive documentation for data models, ETL procedures, and data workflows. Build, test, and validate data pipelines, including developing test scenarios and assisting in UAT. Work closely with engineering and cross-functional teams for successful project implementation. Provide insights and recommendations based on data analysis to support business decision-making. Work autonomously to achieve objectives and meet deadlines; identify new opportunities for process improvements and automation. Qualifications
Advanced technical knowledge of data management, governance, data architecture, and big data platforms (AWS, Databricks, Snowflake). Strong experience in Python programming for data wrangling, automation, and testing; Proficiency in Alteryx for data preparation, blending, and analysis; experience designing, implementing, and optimizing ETL processes and data pipelines. Hands-on experience with scheduling tools (Airflow, Control M, or similar) with strong understanding of data modeling concepts, including operational and analytical data. Proven experience as a Data/Business Analyst, Data Engineer, or similar technical role; proficiency in SQL and relational databases with experience reverse engineering processes and workflows; strong problem-solving skills and attention to detail. Excellent communication skills for conveying technical information to non-technical stakeholders; comfortable working directly with end users and cross-functional teams. Bachelor’s degree in computer science, Information Technology, Business Administration, or a related field. Preferred Qualifications
Experience in large-scale data handling and analytics. Experience with Agile methodologies and understanding of Scrum and Kanban boards. Exposure to visualization tools (Tableau, Qlik, Power BI, Looker). Cloud certification is a plus. Experience with documentation tools (Confluence, Jira). Exposure to additional automation and scheduling tools. About Us
Chase is a leading financial services firm helping millions of households and small businesses achieve their financial goals. We offer a competitive total rewards package, including base salary based on role, experience, skill set and location, with potential additional incentive compensation where applicable. We provide comprehensive benefits and programs to support employee needs, with details shared during the hiring process. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on protected attributes and provide accommodations for applicants and employees as needed. For more information about accommodations, visit our FAQs. Team and Location
Our Consumer & Community Banking division serves Chase customers with a range of financial services. The CCB Data & Analytics team leverages data across Chase to build competitive advantages while ensuring value and protection for customers. The team collaborates with Technology to provide cutting-edge data and analytics infrastructure. Job Details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Referrals increase your chances of interviewing at JPMorganChase. Get notified about new Domain Architect jobs in Wilmington, DE.
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Join to apply for the
Data Domain Architect Lead- Operations Product
role at
JPMorganChase Overview
As a Data Domain Architect Lead- Operations Product in Workforce Planning, you will be responsible for making quick assessments and understanding unstructured problems to develop practical problem-solving strategies. You will rely on your strong background in data analysis, particularly with Alteryx workflows, and relational database skills to interpret and reverse engineer legacy processes. You will work in a highly-collaborative, inclusive environment that values relationship-building, strategic thinking and solution-oriented approaches, with opportunities to contribute to process improvements and key initiatives. Responsibilities
Analyze and interpret complex data sets using Alteryx, Databricks, and Notebooks to uncover trends, anomalies, and actionable insights for business operations. Develop and maintain Python scripts for data automation, transformation, and testing; design and manage automated scheduling solutions for data workflows (e.g., Airflow, Control M). Reverse engineer existing processes and workflows to improve efficiency and scalability; collaborate with end users to gather requirements and understand business needs. Develop and maintain comprehensive documentation for data models, ETL procedures, and data workflows. Build, test, and validate data pipelines, including developing test scenarios and assisting in UAT. Work closely with engineering and cross-functional teams for successful project implementation. Provide insights and recommendations based on data analysis to support business decision-making. Work autonomously to achieve objectives and meet deadlines; identify new opportunities for process improvements and automation. Qualifications
Advanced technical knowledge of data management, governance, data architecture, and big data platforms (AWS, Databricks, Snowflake). Strong experience in Python programming for data wrangling, automation, and testing; Proficiency in Alteryx for data preparation, blending, and analysis; experience designing, implementing, and optimizing ETL processes and data pipelines. Hands-on experience with scheduling tools (Airflow, Control M, or similar) with strong understanding of data modeling concepts, including operational and analytical data. Proven experience as a Data/Business Analyst, Data Engineer, or similar technical role; proficiency in SQL and relational databases with experience reverse engineering processes and workflows; strong problem-solving skills and attention to detail. Excellent communication skills for conveying technical information to non-technical stakeholders; comfortable working directly with end users and cross-functional teams. Bachelor’s degree in computer science, Information Technology, Business Administration, or a related field. Preferred Qualifications
Experience in large-scale data handling and analytics. Experience with Agile methodologies and understanding of Scrum and Kanban boards. Exposure to visualization tools (Tableau, Qlik, Power BI, Looker). Cloud certification is a plus. Experience with documentation tools (Confluence, Jira). Exposure to additional automation and scheduling tools. About Us
Chase is a leading financial services firm helping millions of households and small businesses achieve their financial goals. We offer a competitive total rewards package, including base salary based on role, experience, skill set and location, with potential additional incentive compensation where applicable. We provide comprehensive benefits and programs to support employee needs, with details shared during the hiring process. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on protected attributes and provide accommodations for applicants and employees as needed. For more information about accommodations, visit our FAQs. Team and Location
Our Consumer & Community Banking division serves Chase customers with a range of financial services. The CCB Data & Analytics team leverages data across Chase to build competitive advantages while ensuring value and protection for customers. The team collaborates with Technology to provide cutting-edge data and analytics infrastructure. Job Details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Referrals increase your chances of interviewing at JPMorganChase. Get notified about new Domain Architect jobs in Wilmington, DE.
#J-18808-Ljbffr