Relationship Banker - Minnesota Ave & Clay - Washington DC
Chase, Washington, District of Columbia, United States
We are seeking a Senior Data Modeler to design, develop, and optimize data models that support complex financial systems. You will work closely with cross-functional teams to translate business requirements into robust data structures, enabling high-quality analytics and data-driven decision-making. This role requires strong expertise in SQL, Snowflake, and modern data modeling techniques, alongside domain knowledge in financial services.
Location: 100% onsite position in McLean, VA. Local candidates preferred.
Key Skills
Strong experience in Data Modeling, SQL, Snowflake, JSON data modeling and semi-structured data formats, data integration, and ETL tools and processes.
Key Responsibilities
Design and maintain conceptual, logical, and physical data models for enterprise-scale platforms.
Collaborate with stakeholders to translate business needs into scalable data solutions.
Develop and optimize SQL queries to support analytics and reporting requirements.
Implement and manage data structures within Snowflake environments.
Apply JSON-based data modeling techniques for flexible and modern data architectures.
Required Qualifications
Proven experience in data modeling within financial services environments.
Strong proficiency in SQL and hands-on experience with Snowflake.
Experience with JSON data modeling and semi-structured data formats.
Understanding of data integration and ETL processes.
Ability to communicate clearly with technical and non-technical stakeholders.
Desired Qualifications
Experience with multi-family mortgage or housing finance data.
Familiarity with data governance and data quality frameworks.
Exposure to cloud-based data platforms beyond Snowflake.
Experience working in consulting or client-facing environments.
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Location: 100% onsite position in McLean, VA. Local candidates preferred.
Key Skills
Strong experience in Data Modeling, SQL, Snowflake, JSON data modeling and semi-structured data formats, data integration, and ETL tools and processes.
Key Responsibilities
Design and maintain conceptual, logical, and physical data models for enterprise-scale platforms.
Collaborate with stakeholders to translate business needs into scalable data solutions.
Develop and optimize SQL queries to support analytics and reporting requirements.
Implement and manage data structures within Snowflake environments.
Apply JSON-based data modeling techniques for flexible and modern data architectures.
Required Qualifications
Proven experience in data modeling within financial services environments.
Strong proficiency in SQL and hands-on experience with Snowflake.
Experience with JSON data modeling and semi-structured data formats.
Understanding of data integration and ETL processes.
Ability to communicate clearly with technical and non-technical stakeholders.
Desired Qualifications
Experience with multi-family mortgage or housing finance data.
Familiarity with data governance and data quality frameworks.
Exposure to cloud-based data platforms beyond Snowflake.
Experience working in consulting or client-facing environments.
#J-18808-Ljbffr