Senior Snowflake Data Architect

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); Remote; USD 94,000 - 134,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior Snowflake Data Architect in Atlanta, GA with remote options. The role focuses on designing enterprise Snowflake data platforms, developing data models and pipelines, and implementing data quality and governance controls for MSR analytics and investor reporting.

You will collaborate with Capital Markets, Finance, Portfolio Analytics, and Operations teams to translate business requirements into scalable data solutions.

Qualifications

• 10+ years of experience in Data Engineering, Data Architecture, or related fields.
• 4+ years designing and managing production Snowflake environments.
• 3+ years with dbt Core including data modelling, testing, macros, transformations.
• Strong SQL, advanced data modelling, and ELT pipeline development.
• Experience designing scalable, enterprise-level data architectures.
• Knowledge of data quality, governance, reconciliation and validation frameworks.
• Snowflake performance optimization and cost management.
• Ability to work with business and technical stakeholders.
• Experience in Mortgage Servicing, MSR, or Capital Markets.
• Understanding MSR valuation, mortgage analytics, and portfolio reporting.
• Experience supporting financial reporting and investor reporting.
• Familiarity with Python and cloud-based data integration tools.
• Experience in financial services, banking, or mortgage tech environments.

Skills

Snowflake

dbt Core

SQL

Data modeling

ELT pipelines

Data governance

Data quality

Python

Financial services

Tools

Cloud platforms

Job description

Job Overview

Job ID: J55073

Job Title: Senior Snowflake Data Architect

Location: Atlanta, GA (Remote)

Duration: 24 Months + Extension

Domain Exposure: Retail

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Bill Rate: $83/hour (C2C)

Job Description

We are seeking an experienced Senior Snowflake Data Architect with strong expertise in Snowflake platform architecture, data engineering, and dbt Core to lead the design, development, and optimization of enterprise-grade data solutions. The ideal candidate will have hands-on experience building scalable Snowflake data platforms, developing robust data models and pipelines, and implementing data quality and governance controls. This role will primarily support Mortgage Servicing Rights (MSR) analytics, valuation, portfolio analytics, and investor reporting. The architect will work closely with Capital Markets, Finance, Portfolio Analytics, and Operations teams to translate business requirements into reliable and scalable data solutions.

Required Qualifications

• 10+ years of experience in Data Engineering, Data Architecture, or related fields.


• 4+ years of hands-on experience designing and managing production Snowflake environments.


• 3+ years of production experience with dbt Core, including data modelling, testing, macros, and transformations.


• Strong expertise in SQL, advanced data modelling, and ELT pipeline development.


• Experience designing scalable, enterprise-level data architectures.


• Strong understanding of data quality, data governance, reconciliation, and validation frameworks.


• Experience with Snowflake performance optimization and cost management.


• Ability to work directly with business and technical stakeholders.


• Experience in Mortgage Servicing, Mortgage Servicing Rights (MSR), or Capital Markets.


• Understanding of MSR valuation, mortgage servicing analytics, and portfolio reporting.


• Experience supporting financial reporting, investor reporting, and financial data platforms.


• Familiarity with Python and cloud-based data integration tools.


• Experience working in financial services, banking, or mortgage technology environments.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.