Senior Data Analytics Architect

Hi ,

Our client is looking for Senior Data Analytics Architect (GCP) for a long term project and below is the detailed requirement.

• Role: Senior Data Analytics Architect (GCP)
• Locations: Southlake TX / Austin TX

Job Description:

• Needed Skills
• 15+ years in Data Architecture, Data Analytics, Data governance, and Data Warehousing and architectural thought leadership
• Proven experience with data strategy, roadmap, and endtoend data landscape
• Strong handson experience with GCP, especially Big Query
• Expertise in Informatica IDMC
• Advanced Complex SQL and Python skills
• Experience designing enterprise data warehouse & analytics solutions
• Ability to support and guide development and production systems
• Strong business, communication, and stakeholder management skills
• GCP Certification (Professional Data Engineer / Cloud Architect)

• Required Skills & Qualifications
• 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.

• Technical Skills
• 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.

• Soft Skills
• 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.

• Required Qualifications
• 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.