What are the responsibilities and job description for the Data Architect position at Neutrino Advisory, an Inc 5000 Company?
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:
- Ability to work onsite in Frisco, Texas
- 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
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.