Senior Data Analytics Architect

Location: Southlake, TX (100% Onsite)
Employment Type: Full-Time (FTE Only)

We are seeking a highly experienced Senior Data Analytics Architect to lead the design, development, and governance of enterprise-scale data architecture and analytics solutions. This role requires deep expertise in modern cloud data platforms, particularly Google Cloud Platform (GCP), with a strong focus on Big Query, data warehousing, and enterprise data strategy
. The ideal candidate will provide architectural leadership, define data roadmaps, and enable scalable, secure, and high-performance data ecosystems that support advanced analytics and business decision-making.

• Define and drive enterprise-wide data architecture strategy, roadmap, and governance frameworks across the organization.
• Design and implement scalable data warehouse and analytics solutions supporting complex business requirements.
• Lead end-to-end architecture of modern data ecosystems using Google Cloud Platform (GCP) services, with deep expertise in Big Query
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• Architect and optimize data pipelines using Informatica IDMC and related data integration tools.
• Develop and optimize complex SQL queries and Python-based data processing workflows for analytics and transformation.
• Provide technical leadership and guidance to development and production support teams on data engineering best practices.
• Collaborate with business stakeholders to translate requirements into scalable data solutions and analytics capabilities.
• Ensure data solutions align with enterprise standards for performance, scalability, security, and compliance
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• Evaluate and implement modern data architecture patterns, including cloud-native and AI/ML-ready data platforms.
• Drive data quality, governance, and metadata management practices across enterprise systems.

• 15+ years of experience in Data Architecture, Data Analytics, Data Governance, and Data Warehousing with strong architectural leadership.
• Proven experience defining and executing enterprise data strategies and roadmaps
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• Strong hands-on experience with Google Cloud Platform (GCP), especially Big Query
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• Expertise in Informatica IDMC for data integration and management.
• Advanced proficiency in complex SQL and Python for data engineering and analytics.
• Experience designing and implementing enterprise data warehouse and analytics solutions
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• Ability to support both development and production data systems
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• Strong stakeholder management, communication, and business-facing skills.
• GCP Certification required (Professional Data Engineer or Cloud Architect).

• Experience with GCP Pub/Sub and Cloud Composer for data orchestration and streaming pipelines.
• Exposure to AI/ML-ready data architecture design and enabling machine learning workloads.
• Experience with Big Query data modeling and Enterprise Data Catalog (EDC) tools.
• Strong understanding of cloud cost optimization strategies
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• Prior consulting experience or exposure to large-scale enterprise environments.
• Knowledge of security, privacy, and compliance frameworks in enterprise data platforms.

• Strong analytical and problem-solving mindset
• Excellent communication and stakeholder engagement abilities
• Ability to influence architectural decisions across multiple teams
• Strong leadership in guiding technical teams and driving enterprise alignment
• Comfortable working in a high-responsibility, onsite enterprise environment