Senior Data Analytics Architect

Role: Senior Data Analytics Architect

Location: Southlake TX (100% Onsite) No flexibility

Max Salary: $130K

FTE Only

We are seeking an experienced Senior Data Analytics Architect with over 15 years of expertise in designing and delivering enterprise-scale data analytics and AI-enabled solutions. This role will lead the architecture design and implementation of modern data analytics platforms on Google Cloud Platform (GCP) enabling advanced analytics data warehousing and artificial intelligence use cases.

The Senior Data Analytics Architect will work closely with Product teams development and production support teams business users and data consumers to ensure data solutions are scalable reliable secure and aligned with business objectives.

• Define and own the enterprise data and analytics architecture aligning with business strategy and long-term analytics roadmap.
• Architect end-to-end data warehousing analytics and AI-ready data platforms.
• Design logical physical and analytical data models to support reporting dashboards advanced analytics and AI/ML workloads.
• Establish architecture standards design patterns and best practices for analytics and data platforms.
• Architect data ingestion streaming and batch pipelines using Informatica IDMC Pub/Sub and Cloud Composer

• Design and implement cloud-native analytics solutions on GCP with a strong focus on Big Query.
• Architect scalable data warehouses and analytics layers optimized for high-performance querying.
• Design and oversee data ingestion transformation and orchestration pipelines using Informatica IDMC.
• Enable analytics and AI use cases by ensuring data is well-structured governed and accessible.

• Support advanced analytics and AI initiatives by designing data architectures optimized for machine learning and data science workloads.
• Collaborate with analytics and AI teams to ensure data availability quality and performance.
• Ensure the data platform supports exploratory analytics predictive modeling and AI-driven insights.

• Provide hands-on architectural guidance to development teams throughout the development lifecycle.
• Review SQL Python code and data pipelines for performance scalability and reliability.
• Support production environments including:
  • Monitoring and troubleshooting data pipeline failures.
  • Performance tuning and optimization
  • Root cause analysis and issue resolution
• Ensure SLA adherence data accuracy and high availability of analytics systems.

• Partner with Product teams to translate product and analytics requirements into robust data solutions.
• Work closely with business users and data consumers to understand reporting analytics and insight needs.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Act as a trusted advisor for data analytics and AI capabilities.

• Define and enforce data governance data quality and metadata management standards.
• Ensure compliance with enterprise security privacy and regulatory requirements.
• Promote best practices for data lineage auditing and access control across analytics platforms.

• 15 years of experience in Data Architecture Data Analytics Architecture and Data Warehousing.
• Proven experience delivering enterprise-scale data and analytics solutions.
• Strong background in supporting both development and production environments.

• Strong hands-on experience with GCP including Big Query Pub/Sub and Cloud Composer
• Strong experience with:
  • Big Query (analytics design optimization cost and performance tuning)
  • Informatica Intelligent Data Management Cloud (IDMC)
• Advanced proficiency in Complex SQL (query tuning analytical functions).
• Strong and experienced Python skills for data processing automation and analytics support.
• Extensive experience with Data Warehousing concepts including dimensional and analytical data modeling.
• Experience designing data platforms for data analytics and AI / ML workloads.

• Excellent communication and stakeholder management skills.
• Ability to translate business requirements into technical architecture.
• Strong analytical problem-solving and decision-making abilities.
• Proven ability to work across cross-functional and geographically distributed teams.

• Experience working in large enterprise or highly regulated environments.
• Exposure to BI tools analytics platforms and data science ecosystems.
• Familiarity with DevOps CI/CD pipelines and production monitoring for data platforms.
• Experience with data governance cataloging and quality tools.