Senior Data Analytics Architect (GCP)

Lorven Technologies Inc

Austin, TX, United States

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Artificial Intelligence Airflow Business Analytics Applications Data Analysis BigQuery Cloud Computing Continuous Integration Data Architecture Data Governance Data Warehousing DevOps Data Intelligence

+9 more

Python (Programming Language) Performance Tuning Query Optimization SQL Databases Data Processing Analytic Functions Data Strategy Data Analytics Data Management

Requirements

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), * 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., * 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.