Solution Architect Data Model Design

Plano, TX - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

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:

Bachelors or Masters 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)

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 str...

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:

Bachelors or Masters 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)