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# Data Architect - Dallas, TX - Fulltime

- **Company:** Prodapt North America
- **Location:** Dallas, TX, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, BigQuery, Cloud Database, Databases, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Vault Modeling, Data Warehousing, Meta-Data Management, Cloud Services, Data Streaming, Talend, Azure Service Bus, Google Cloud, Data Ingestion, Snowflake, Apache Spark, Togaf, Data Lakes, Information Technology, Data Lineage, SAP MDG, Real Time Data, Apache Kafka, OSS/BSS, Data Management, Azure Synapse Analytics, Amazon Redshift, Databricks
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/023bf976-7f8c-4c23-838a-12d19f1c5d60

## About the Role

* Strong Experience in Data architecture, with proven experience designing enterprise-scale data platforms
 * Strong expertise in cloud data ecosystems (AWS/Azure/Google Cloud Platform) - data lakes, warehouses (Snowflake, Redshift, BigQuery, Synapse)
 * Deep knowledge of data modeling techniques (dimensional, normalized, data vault)
 * Hands-on experience with ETL/ELT tools (Informatica, Talend, dbt, Databricks, Spark)
 * Strong understanding of data governance frameworks, data quality, and MDM tools
 * Experience with streaming/real-time data architectures (Kafka, Kinesis, Event Hubs)
 * Familiarity with telecom domain data (network, billing, customer, OSS/BSS) preferred
 * Excellent stakeholder management and ability to present architecture to technical and business audiences
 * Relevant certifications (AWS/Azure/Google Cloud Platform data architecture, TOGAF) are a plus

Educational Qualification:
Bachelor's/Master's degree in Computer Science, Information Technology, or related field

## Description

* Design end-to-end data architecture (data lake, data warehouse, data mesh) aligned with business and technical requirements
 * Define data models (conceptual, logical, physical) and enforce data governance, quality, and security standards
 * Architect solutions for data ingestion, transformation, storage, and consumption across structured/unstructured sources
 * Evaluate and select appropriate technologies (cloud data platforms, ETL/ELT tools, databases) for scalability and cost efficiency
 * Collaborate with business stakeholders, engineering teams, and presales to translate requirements into architecture blueprints
 * Establish data integration strategies across legacy and modern systems, including APIs and streaming pipelines
 * Define and enforce metadata management, data lineage, and master data management (MDM) practices
 * Provide architectural oversight during implementation, ensuring adherence to design principles and best practices
 * Mentor data engineering teams and review technical designs for scalability, performance, and compliance
 * Support presales/solutioning efforts with architecture diagrams, technical proposals, and effort estimation.


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