Bulge Bracket Investment Banks

Posted 2 months ago

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The Domain Data Architect will design and deliver scalable Finance data marts using Databricks to enable analytics and reporting across banking, wealth management, credit cards, auto and home lending. You will collaborate with product, engineering, and stakeholder teams to gather requirements, build ETL pipelines, and implement star/snowflake schemas and data governance. The role includes optimizing data models, maintaining documentation and lineage, and making finance data discoverable for analytical use. This position supports modernization of the data environment and drives best practices in data management for the Finance organization.

Compensation: Not specified
City: Wilmington
Country: United States

Full Job Description

Location: Wilmington, DE, United States

As part of our team, you’ll help modernize our data environment and unlock new opportunities for career growth and skill development.

As a Domain Data Architect in the Finance Data Mart team, you will partner with Technology and Product teams to design and deliver data domains using Databricks. You will enable the Finance function to access and analyze essential data, supporting business needs across banking, wealth management, credit cards, auto lending, and home lending. You will collaborate closely with stakeholders to make data discoverable and actionable, fostering a culture of informed decision-making and continuous improvement.

You will work within a dynamic, cross-functional team, contributing to the transformation of our data architecture and integration processes. Your expertise will help ensure our data solutions remain robust, scalable, and aligned with industry best practices, supporting the analytical and reporting needs of the Finance organization.

Job Responsibilities

Implement and optimize the Finance Data Mart using Databricks and ThoughtSpot for analytics and reporting

Design efficient data mart schemas consolidating key data categories from multiple source systems

Collaborate with data engineers, analysts, and technical specialists to gather and analyze business requirements

Develop and optimize ETL processes and data pipelines using Databricks

Partner with Area Product teams and stakeholders to design reporting and analytics solutions

Apply design-led thinking to make data discoverable and accessible for analytical needs

Maintain documentation on data mart architecture, data models, ETL processes, and governance policies

Stay current on industry best practices and emerging trends in data management

Ensure alignment of data solutions with organizational objectives

Support the Finance function across diverse business areas

Foster a collaborative and innovative team environment

Required Qualifications, Capabilities, and Skills

Minimum seven years of experience in data architecture, data warehousing, and data integration in financial services

Bachelor’s degree in Computer Science, Information Systems, or related discipline

Expertise in designing scalable data mart architectures, including star and snowflake schemas

Strong knowledge of data management, data lineage, and data dictionaries

Proven track record in managing and delivering complex data projects

Strong written and verbal communication skills

Proficiency in SQL, Data Modeling, and ERWIN

Preferred Qualifications, Capabilities, and Skills

Strong knowledge of Amazon Web Services; AWS Certifications preferred

Experience with Databricks, Snowflake, or other cloud data warehouses

Experience with market-leading data catalog systems

Experience with ThoughtSpot, Sigma, Tableau, Alteryx, or Essbase a plus

Join us to shape the future of data analytics in Finance, leveraging cloud technologies to drive innovation and impactful decision-making.

Full Job Description