Senior Data Architect

Role: Sr Data Architect
Direct Client - Fulltime role
Location: Richardson, TX(Hybrid)

Mode: FTE

Job Details

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.

·       Design and implement end-to-end modern data architectures, including data lakes, lakehouses, 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.

Qualifications

·       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.