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Solution Architect - Data Design Model
Solution Architect - Data Design ModelPhoton • Plano, Texas, United States
Solution Architect - Data Design Model

Solution Architect - Data Design Model

Photon • Plano, Texas, United States
[job_card.variable_hours_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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)
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