Data Domain Architect Senior Associate

Job Responsibilities -


* Contribute to the transformation and modernization of our data environment to serve the analytical and reporting needs of the CCB Home Lending Finance Organization.


* Execute and take ownership of operational processes with an emphasis on accuracy and timeliness of meeting deliverables on prescribed timetables / calendars.


* Identify hidden problems and patterns in home lending data proactively and use those insights to drive process improvements.


* Conduct detailed reconciliation of results between home lending data systems.


* Work with IT to migrate to production the developed solutions and act as an SME/escalation point for the deployed solutions.


* Provide a high level of responsiveness to ad-hoc requests, \"what-if\" scenario data analytics, and regulatory inquiries related to home lending.


* Participate in requirements gathering sessions with varying levels of leadership, complete detailed project planning utilizing JIRA to record planned project execution steps.


* Partner with the Technology Team to design and deliver data domains into the Finance Data Mart that brings together essential home lending data categories to enable the Finance function to support their analytical and reporting needs.


* Source and maintain the Financial and Operational data required to transform and maintain Home Lending reporting.


* Become a subject matter expert in our home lending financial reporting platforms and support team members in becoming more proficient themselves.

Required qualifications, capabilities, and skills-


* Bachelor's degree in MIS, Computer Science, Finance, Accounting, or other related area with relevant work experience.


* 5+ years of experience in data analytics, architecture, or financial reporting systems, preferably within home lending or mortgage banking.


* Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses.


* Experience with business intelligence analytics and data wrangling tools


* Domain Knowledge: Deep understanding of the home lending or mortgage banking industry.


* Data Quality Management: Understanding of strategies and tools for data profiling, cleansing, and validation to maintain high data quality.


* Demonstrated experience delivering process improvement or automation.


* Highly motivated, self-directed, curious to learn new technologies, strong team player.


* Strong analytical and problem-solving ability; Excellent written and verbal communication skills.


* Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data.


* Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable.

Preferred qualifications, capabilities, and skills-


* Experience with Spark SQL or ot...