Data Domain Architect Lead- Operations Product

JPMorgan Chase • Wilmington, DE

91d

About The Position

Do you have a strong background in data analysis, particularly with Alteryx workflows, and relational database skills to interpret and reverse engineer legacy processes? Our team is a highly-collaborative inclusive environment where we value relationship-building, strategic thinking and solution-oriented members. Embark on a rewarding and challenging career with our dynamic team where you will have the opportunity to make a significant impact by supporting process improvements, key initiatives and expanding your creative skills in a supportive and collaborative environment. Join us and contribute to our mission while advancing your career- with highly supportive leadership and programs to foster growth and career mobility, your skills and capabilities can increase and be fine-tuned to make you more agile and versatile in reaching your career potential. As a Data Domain Architect Lead- Operations Product in Workforce Planning, you will be responsible for making quick assessments and comprehension of unstructured problems to develop practical problem-solving strategies. You will need to use your strong background in data analysis, particularly with Alteryx workflows, and relational database skills to interpret and reverse engineer legacy processes. You will need your excellent communication skills and the ability to work directly with end users are essential and Workforce Planning (WFP) team engages in complex, data-intensive projects with significant business impact.

Requirements

• 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 and 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 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Education Level: Bachelor's degree