What are the responsibilities and job description for the Senior Data Analytics Architect (Google Cloud Platform) position at Lorven Technologies, Inc.?
Hi ,
Our client is looking for Senior Data Analytics Architect (Google Cloud Platform) for a long term project and below is the detailed requirement.
Role: Senior Data Analytics Architect (Google Cloud Platform)
Locations: Southlake TX / Austin TX
Employment Type: Fulltime
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 Google Cloud Platform, 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
- Google Cloud Platform 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 Google Cloud Platform, 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.