What are the responsibilities and job description for the Solution Architect - Data Model Design position at Tek Spikes?
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.
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)