Senior Data Architect — Cloud Modernization & Analytics

SMX; Santa Fe (NM); On-site; USD 135,000 - 200,000; Full time

Job summary

SMX is seeking a Senior Data Architect to design, implement, and optimize the enterprise data warehouse that supports the Federal Transit Administration’s mission. You will replace legacy systems, implement cloud data solutions, and provide the architectural backbone for analytics and data-driven decisions.

The role requires 10+ years in BI/Data Warehousing, strong AWS expertise, and hands-on experience with SQL Server/MariaDB, ETL/ELT tools (SSIS, Python, Databricks).

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 10+ years of professional experience in Business Intelligence, Data Warehousing, Data Modeling, and Database Design.
• Proven experience architecting and optimizing data solutions within a cloud environment, specifically AWS.
• Expertise in dimensional modeling techniques and tools for effective reporting and analytics.
• In-depth knowledge of and hands-on experience with relational database platforms, specifically SQL Server and MariaDB.
• Demonstrated experience designing and building complex ETL/ELT processes using tools such as SSIS, Python, or Databricks.
• Strong ability to translate business needs into technical requirements and communicate complex technical concepts effectively to stakeholders and federal leads.

Responsibilities

• Lead Data Architecture: Own the overall data architecture, including the design, development, and maintenance of scalable data models, data marts, and database solutions that align with the FTA's business requirements.
• Data Modeling & Design: Create and maintain logical and physical database models using tools like Microsoft Visio. Design hierarchies, attributes, and metrics to maximize drill-down and analytical capabilities within the Enterprise Data Warehouse.
• ETL & Data Integration: Oversee the integration of disparate data sets from critical FTA systems (e.g., NTD, TRAMS) and external sources, ensuring the development of robust, efficient ETL/ELT pipelines.
• Technical Leadership & Governance: Serve as the subject matter expert for data architecture, collaborating with stakeholders to gather requirements and providing guidance to development teams. Support enterprise data and analytics governance activities to ensure data integrity and quality.
• Cloud Modernization: Work with the data lead to help assess and optimize the current AWS cloud infrastructure for performance, cost-efficiency, and scalability. Assist with the migration of the technology stack to modern platforms like Databricks and Data Lakes.

Job description

SMX is seeking a Senior Data Architect to design, implement, and optimize the enterprise data warehouse that supports the Federal Transit Administration’s mission. You will replace legacy systems, implement cloud data solutions, and provide the architectural backbone for analytics and data-driven decisions.

The role requires 10+ years in BI/Data Warehousing, strong AWS expertise, and hands-on experience with SQL Server/MariaDB, ETL/ELT tools (SSIS, Python, Databricks).