Data Domain Architect Lead- Operations Product

Reposted 8 Days Ago
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Wilmington, DE
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
The role involves analyzing complex data sets, developing data automation scripts, reverse engineering processes, and collaborating with users to optimize workflows.
Summary Generated by Built In
Job Description
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.
Job 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.

Required qualifications, capabilities, and skills
  • 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 and proficiency in SQL and relational databases with experience in reverse engineering processes and workflows and strong problem-solving skills and attention to detail.
  • Excellent communication skills for conveying technical information to non-technical stakeholders and 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, capabilities, and skills
  • 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.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
Equal Opportunity Employer/Disability/Veterans
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

Airflow
Alteryx
AWS
Control M
Databricks
Looker
Power BI
Python
Qlik
Snowflake
SQL
Tableau

What the Team is Saying

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Lupe C.
Edwin T.
Dawn T.
Meng M.
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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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Data Architect

Financial Services
Hybrid
Wilmington, DE, USA
289097 Employees

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