Solution Architect - Data Model Design

Tek Spikes

Plano, Texas, United States contract

Posted: November 17, 2025

Required Skills

Job Description

Job Title: Solution Architect - Data Model Design

Location: Plano TX
Visa:H4 EAD, OPT & USC Only

Note: Client interview In-person needed

Key Responsibilities:

• Architect end-to-end enterprise data solutions
• Design data models and integration frameworks that support data analytics, process optimization, and compliance reporting
• Lead the implementation of data lakes, data warehouses, and streaming platforms to handle large volumes of structured and unstructured data
• Evaluate and recommend data technologies and tools to enhance data capture, processing, and analytics capabilities
• Partner with Data Stewards to establish and enforce data governance, security, and compliance standards aligned with industry regulations
• Drive data architecture best practices to support data initiatives
• Provide technical leadership and mentorship to data engineering teams and cross-functional stakeholders
• Develop proof-of-concept projects to validate new data technologies and use cases
• Document architecture designs, data flows, and integration patterns
• Stay abreast of emerging trends in data technologies and analytics to continuously improve enterprise data capabilities.

Requirements:
Requirement:

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or similar (or equivalent experience)
• Experience in data architecture or data solution design
• Expertise in cloud data platforms (AWS, Azure, Google Cloud) and big data technologies
• Strong skills in data modeling, ETL/ELT, data integration, and real-time data processing
• Experience with data ingestion, time-series databases, and streaming analytics
• Programming experience in Python, Scala, or Java
• Proficiency in SQL and familiarity with NoSQL and graph databases
• Excellent communication skills with the ability to engage technical and non-technical stakeholders
• Experience working in agile, cross-functional teams
• Experience with Databricks, Snowflake or similar Data Platforms
• Experience with containerization (Docker, Kubernetes) and DevOps practices
• Knowledge of compliance standards and data security best practices
• Certifications in cloud platforms or data architecture (e.g., AWS Certified Solutions Architect, Azure Data Engineer)

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