Job Title: Data Architect Location: Dallas (preferable), TX or Seattle, WA Duration: 5 Months
Interview: In-person interview is mandatory for both locations
Job Description: We are looking for someone who can architect a scalable revenue data platform to support enterprise-wide data needs and deliver actionable insights across Client business units. Our current tech stack includes Azure, Snowflake, Databricks, Claude, and GitLab, with AWS also available. Furthermore, having knowledge of finance domain and platforms like SAP and Oracle is an added advantage. The ideal candidate will bring a forward-thinking approach—able to translate vision into architecture and design, develop proof of concepts, incorporate cost considerations, and deliver incremental value aligned to specific business units. This is a critical role that requires strong ownership, a bias for action, and the ability to balance strategic thinking with hands-on collaboration at the engineering level.
Role Overview We are seeking a highly skilled Data Architect to lead the design and evolution of our Revenue Data Platform (RDMP). This role will be instrumental in architecting a scalable, enterprise-grade data platform that enables unified data access and delivers actionable insights across Client business units. The ideal candidate will bring a forward-looking mindset, translating strategic vision into practical architecture, while driving innovation, cost efficiency, and measurable business outcomes.
Key Responsibilities
Define and architect a scalable, enterprise-wide Revenue Data Platform to support diverse business needs
Translate business vision into robust data architecture, design patterns, and implementation roadmap
Develop proof of concepts (POCs) to validate architectural decisions and accelerate adoption
Design solutions leveraging modern data platforms including Azure, Snowflake, Databricks, and AWS Collaborate closely with engineering teams to ensure hands-on alignment and execution Incorporate cost optimization strategies into architecture and platform design
Deliver incremental value aligned to specific business units through phased implementation
Ensure data solutions enable high-quality, secure, and governed data access across the enterprise
Required Qualifications
Proven experience as a Data Architect designing and implementing large-scale data platforms
Strong expertise in cloud data ecosystems (Azure preferred; AWS experience is a plus)
Hands-on experience with Snowflake, Databricks, and modern data engineering practices
Experience working with CI/CD tools such as GitLab Ability to bridge strategic architecture and hands-on engineering execution
Strong understanding of data modeling, data governance, and data platform scalability
Preferred Qualifications
Experience in Finance/Revenue domains
Familiarity with enterprise platforms such as SAP and Oracle Exposure to AI/LLM tools (e.g., Claude) and their integration into data platforms
Operational Management
Establish governance, stewardship, and frameworks for managing data across the organization
Develop and promote data management methodologies and standards
Select and implement the appropriate tools, software, applications, and systems to support data technology goals
Collaborate with project managers and business teams for all projects involving enterprise data
Address data-related issues with systems integration, compatibility, and multi-platform integration
Act as a leader and advocate of data management, including coaching, training, and Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture
Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture
Identify and develop opportunities for data reuse, migration, or retirement
Project Control and Review
Perform data architecture design review
Identify opportunities for optimization of cost, time and asset utilization in complex projects and advise relevant teams accordingly where possible
Provide advice to teams facing complex technical issues in the course of project delivery
Conduct planned and unplanned technical audits for complex projects as applicable
Define and measure project and program specific architectural and technology quality metrics
Data Design & Definition
Ensure alignment of the high-level architecture with the existing client need and business logic / review design prepared by architects
Ensure the involvement of appropriate teams in data design
Ensure technical integrate ability, requirements compliance of the solution, especially in case of a multi group / multi-vendor program
Involve external partners / horizontals as appropriate
Provide guidance to the team around the usage of data architecture and experience in solution implementation, product selection and definition, configuration, migration and transformations between cloud and hosted solutions. Take responsibility for developing cutting edge wallet applications
Ensure UST architecture principles and QOA (Quality of Architecture) are maintained. Analyse trade-offs and provide recommendations, if any, on the data architecture
Identify opportunities for efficiency improvements.
Understand the various work streams and the technologies necessary to deliver on large programs
Resolve any issues based on industry expertise / partners leverage
Provide best in class technology and solution options to customers with detailed examples and case studies. Guide customer on process and technology improvements to achieve agility and quick results
Applicant Notices & Disclaimers
For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 50.00/hr.
