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Data Architect
Job in
Richardson, Dallas County, Texas, 75080, USA
Listed on 2026-02-07
Listing for:
GBIT (Global Bridge InfoTech Inc)
Full Time
position Listed on 2026-02-07
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager
Job Description & How to Apply Below
As a Senior Data Architect, you will lead the design, development, and implementation of scalable, high-performance data platforms that support advanced analytics, AI/ML, and enterprise reporting.
This is a hands-on role, combining strong data engineering expertise with architectural leadership to build modern, AI-ready data ecosystems.
You will work closely with business stakeholders, engineering teams, and analytics leaders to translate complex business requirements into robust, secure, and future-ready data solutions.
Responsibilities- Design and implement end-to-end modern data architectures, including data lakes, lake houses, and data warehouses.
- Lead hands-on development of ETL/ELT pipelines, ensuring scalability, reliability, and performance.
- Architect and optimize batch and streaming data pipelines across cloud and hybrid environments.
- Drive best practices for data modeling (conceptual, logical, physical) to support analytics and reporting.
- Build and manage integrations between enterprise systems, data platforms, and third-party APIs.
- Ensure data consistency, quality, and lineage across multiple sources.
- Implement metadata management, orchestration, and monitoring frameworks.
- Enable AI/ML-ready data foundations for advanced analytics, NLP, and intelligent automation.
- Support structured and unstructured data processing to enable downstream analytics use cases.
- Exposure to Ontology and Knowledge Graphs is a strong plus for semantic modeling and contextual analytics.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 10+ years of overall experience, with 3+ years in data architecture and platform design.
- Strong hands-on expertise in data engineering and modern data platforms.
- Proven experience building enterprise-scale data platforms and data products.
- Deep familiarity with Snowflake, Databricks, Azure Synapse, or equivalent platforms.
- Strong knowledge of SQL, data modeling, metadata management, and orchestration tools.
- Experience with BI and reporting tools.
- Solid understanding of data governance and MDM frameworks.
- Excellent communication, stakeholder management, and technical leadership skills.
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