Chase · 3 months ago
Data Domain Architect Lead- Operations Product
300 N King St, Wilmington, DE, 19801, US
Full-time
Onsite
Senior LevelChase is a leading financial services firm, and they are seeking a Data Domain Architect Lead for their Operations Product team. In this role, you will analyze complex data sets, develop data automation scripts, and collaborate with cross-functional teams to improve processes and support business decision-making.
BankingFinancial Services
Responsibilities
Analyze and interpret complex data sets using Alteryx, Databricks, and Notebooks and deeply explore data to uncover trends, anomalies, and actionable insights for business operations
Develop and maintain Python scripts for data automation, transformation, and testing and design, implement, and manage automated scheduling solutions for data workflows (e.g., Airflow, Control M)
Reverse engineer existing processes and workflows to improve efficiency and scalability and 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
Qualification
Required
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)
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
Experience in 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
Experience in large-scale data handling and analytics
Working 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
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
Founded in 2000
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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