What are the responsibilities and job description for the Data Architect (Need Locals to Frisco, TX & nearby) position at Saransh Inc?
Role: Data Architect
Location: Frisco, TX (Onsite from Day 1) - Only Locals
Job Type: Contract
NOTE: Only Locals needed as In person Interview is required
Required Skills
Location: Frisco, TX (Onsite from Day 1) - Only Locals
Job Type: Contract
NOTE: Only Locals needed as In person Interview is required
Required Skills
- 3 yrs of exp Revenue Data Platform
- 3 yrs of exp Azure, Snowflake
- 3 yrs of exp Databricks
- 3 yrs of exp AWS
- 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.
- 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
- 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 engineeringds-on engineering execution
- Strong understanding of data modeling, data governance, and data platform scalability
- 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