Digital Data Architect

Irving, TX - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Digital Data Architect

Role Overview A leading organization is seeking a hands-on Digital Data Architect to design and implement modern data architectures that support analytics AI/ML initiatives and digital transformation. This individual contributor role emphasizes technical execution delivering scalable secure and high-performing data solutions across cloud and hybrid environments.

Key Responsibilities

Design conceptual logical and physical data models for both enterprise-wide and domain-specific solutions.
Architect data platforms using technologies such as Synapse Databricks Data Lake and Cosmos DB.
Develop robust ETL/ELT pipelines utilizing Data Factory Event Hubs and streaming frameworks.
Enable both real-time and batch data processing for analytics and operational systems.
Implement data cataloging lineage tracking and quality frameworks with tools like Purview.
Ensure adherence to security and regulatory standards including GDPR and CCPA.
Optimize data storage strategies query performance and cost efficiency across cloud platforms.
Collaborate with solution architects data engineers and analytics teams to deliver comprehensive solutions.
Provide technical leadership and promote best practices for data platform adoption.

Required Skills & Qualifications

Bachelors degree in Computer Science Information Systems or a related discipline.
8 years of experience in data engineering or architecture roles with strong hands-on capabilities.
Expertise in cloud data platforms (preference for Azure; experience with AWS or GCP is a plus).
Proficiency in data modeling across relational NoSQL and big data environments.
Deep understanding of ETL/ELT and streaming data frameworks.
Strong command of SQL Python and Spark.
Hands-on experience with Synapse Databricks Data Lake Cosmos DB Data Factory Event Hubs and Kafka.
Familiarity with business intelligence tools such as Power BI or Tableau.

Preferred Qualifications

Experience implementing Data Mesh or Data Fabric architectures.
Exposure to machine learning pipeline integration.
Relevant certifications such as Data Engineer Associate or Solutions Architect Expert (Azure).

KPIs and Success Metrics

Timely delivery of scalable data architectures.
Measurable reduction in data processing time and improved cost efficiency.
Enhanced data quality and governance compliance as reflected in audit outcomes.
Increased adoption of modern data platforms and tools across internal teams.
Consistent achievement of service-level agreements for batch and real-time data pipelines.

Job Title: Digital Data ArchitectRole Overview A leading organization is seeking a hands-on Digital Data Architect to design and implement modern data architectures that support analytics AI/ML initiatives and digital transformation. This individual contributor role emphasizes technical execution de...

Job Title: Digital Data Architect

Key Responsibilities

Design conceptual logical and physical data models for both enterprise-wide and domain-specific solutions.
Architect data platforms using technologies such as Synapse Databricks Data Lake and Cosmos DB.
Develop robust ETL/ELT pipelines utilizing Data Factory Event Hubs and streaming frameworks.
Enable both real-time and batch data processing for analytics and operational systems.
Implement data cataloging lineage tracking and quality frameworks with tools like Purview.
Ensure adherence to security and regulatory standards including GDPR and CCPA.
Optimize data storage strategies query performance and cost efficiency across cloud platforms.
Collaborate with solution architects data engineers and analytics teams to deliver comprehensive solutions.
Provide technical leadership and promote best practices for data platform adoption.

Required Skills & Qualifications

Bachelors degree in Computer Science Information Systems or a related discipline.
8 years of experience in data engineering or architecture roles with strong hands-on capabilities.
Expertise in cloud data platforms (preference for Azure; experience with AWS or GCP is a plus).
Proficiency in data modeling across relational NoSQL and big data environments.
Deep understanding of ETL/ELT and streaming data frameworks.
Strong command of SQL Python and Spark.
Hands-on experience with Synapse Databricks Data Lake Cosmos DB Data Factory Event Hubs and Kafka.
Familiarity with business intelligence tools such as Power BI or Tableau.

Preferred Qualifications

Experience implementing Data Mesh or Data Fabric architectures.
Exposure to machine learning pipeline integration.
Relevant certifications such as Data Engineer Associate or Solutions Architect Expert (Azure).

KPIs and Success Metrics

Timely delivery of scalable data architectures.
Measurable reduction in data processing time and improved cost efficiency.
Enhanced data quality and governance compliance as reflected in audit outcomes.
Increased adoption of modern data platforms and tools across internal teams.
Consistent achievement of service-level agreements for batch and real-time data pipelines.