Ampstek
Digital Data Architect || Irving, TX ( 2 days of the week )
Ampstek, Irving, Texas, United States, 75084
Digital Data Architect
Location: Irving, TX (2 days of the week)
Job Type: 12‑Month Contract
Job Description: Digital Data Architect – Individual Contributor
Role Overview We are looking for a hands‑on Digital Data Architect to design and implement modern data architectures that enable analytics, AI/ML, and digital transformation. This role focuses on technical execution, ensuring scalable, secure, and high‑performing data solutions across cloud and hybrid environments.
Key Responsibilities
Design conceptual, logical, and physical data models for enterprise and domain‑specific solutions.
Architect data platforms leveraging Azure Synapse, Databricks, Data Lake, and Cosmos DB.
Build robust ETL/ELT pipelines using Azure Data Factory, Event Hubs, and streaming technologies.
Enable real‑time and batch data processing for analytics and operational systems.
Implement data cataloging, lineage, and quality frameworks using tools like Azure Purview.
Ensure compliance with security and regulatory requirements (GDPR, CCPA).
Optimize data storage, query performance, and cost efficiency across cloud environments.
Collaborate with solution architects, data engineers, and analytics teams to deliver end‑to‑end solutions.
Provide technical guidance and best practices for data platform adoption.
Required Skills & Qualifications
Bachelor’s in Computer Science, Information Systems, or related field.
8+ years in data engineering/architecture roles with strong hands‑on expertise.
Data modeling (relational, NoSQL, and big data).
ETL/ELT and streaming frameworks.
Proficiency in SQL, Python, and Spark.
Experience with Azure Synapse, Databricks, Data Lake, Cosmos DB, Azure Data Factory, Event Hubs, Kafka.
Familiarity with BI tools such as Power BI or Tableau.
Preferred Qualifications
Experience with Data Mesh or Data Fabric concepts.
Familiarity with ML pipeline integration.
KPIs and Success Metrics
Successful implementation of scalable data architectures within agreed timelines.
Reduction in data processing time and cost optimization by X %.
Improved data quality and governance compliance (measured by audit scores).
Adoption rate of new data platforms and tools across teams.
Achievement of pipeline SLAs for batch and real‑time data flows.
Additional Information Seniority Level: Mid‑Senior level
Employment Type: Contract
Job Function: Information Technology
#J-18808-Ljbffr
Job Type: 12‑Month Contract
Job Description: Digital Data Architect – Individual Contributor
Role Overview We are looking for a hands‑on Digital Data Architect to design and implement modern data architectures that enable analytics, AI/ML, and digital transformation. This role focuses on technical execution, ensuring scalable, secure, and high‑performing data solutions across cloud and hybrid environments.
Key Responsibilities
Design conceptual, logical, and physical data models for enterprise and domain‑specific solutions.
Architect data platforms leveraging Azure Synapse, Databricks, Data Lake, and Cosmos DB.
Build robust ETL/ELT pipelines using Azure Data Factory, Event Hubs, and streaming technologies.
Enable real‑time and batch data processing for analytics and operational systems.
Implement data cataloging, lineage, and quality frameworks using tools like Azure Purview.
Ensure compliance with security and regulatory requirements (GDPR, CCPA).
Optimize data storage, query performance, and cost efficiency across cloud environments.
Collaborate with solution architects, data engineers, and analytics teams to deliver end‑to‑end solutions.
Provide technical guidance and best practices for data platform adoption.
Required Skills & Qualifications
Bachelor’s in Computer Science, Information Systems, or related field.
8+ years in data engineering/architecture roles with strong hands‑on expertise.
Data modeling (relational, NoSQL, and big data).
ETL/ELT and streaming frameworks.
Proficiency in SQL, Python, and Spark.
Experience with Azure Synapse, Databricks, Data Lake, Cosmos DB, Azure Data Factory, Event Hubs, Kafka.
Familiarity with BI tools such as Power BI or Tableau.
Preferred Qualifications
Experience with Data Mesh or Data Fabric concepts.
Familiarity with ML pipeline integration.
KPIs and Success Metrics
Successful implementation of scalable data architectures within agreed timelines.
Reduction in data processing time and cost optimization by X %.
Improved data quality and governance compliance (measured by audit scores).
Adoption rate of new data platforms and tools across teams.
Achievement of pipeline SLAs for batch and real‑time data flows.
Additional Information Seniority Level: Mid‑Senior level
Employment Type: Contract
Job Function: Information Technology
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