Overview
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Data Lake
Data Modeling
Google Cloud
Google Cloud Platform
Data Governance
Data Flow
Data Integration
Data Warehouse
Job Details
Job Title: Data Architect
Location: Bay Area, CA/Hybrid
Job Description:-
We are seeking a highly skilled Data Architect to join our Data & AI team in the U.S. The ideal candidate will have deep expertise in designing, implementing, and managing data architectures on Google Cloud Platform (Google Cloud Platform). This role involves leading the end-to-end design of data solutions, defining data governance frameworks, and enabling the organization to leverage data for advanced analytics, AI, and business intelligence initiatives.
Key Responsibilities:-
- Architect Scalable Data Solutions: Design and implement high-performance, secure, and scalable data architectures on Google Cloud Platform to meet business needs.
- Data Strategy & Governance: Define and enforce data architecture frameworks, standards, and best practices including data modeling, metadata management, lineage, and security.
- Solution Delivery: Lead the design, build, and deployment of cloud-based data platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
- Data Integration & Quality: Oversee data ingestion, transformation, and curation pipelines ensuring data accuracy, consistency, and performance.
- Collaboration & Leadership: Partner with business stakeholders, product teams, and engineers to translate requirements into data-driven solutions.
- Technical Mentorship: Provide guidance and mentorship to data engineers and analysts, promoting architectural excellence and best practices.
- Performance Optimization: Continuously improve the reliability, scalability, and performance of data platforms and processes
What You Bring
- Experience: 8+ years of experience in data architecture, engineering, or analytics, with at least 2 years in a Google Cloud Platform environment.
- Technical Expertise:
- Strong proficiency with Google Cloud Platform data services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud SQL, etc.)
- Hands-on experience with ETL/ELT frameworks, data warehousing, and real-time data streaming.
- Strong understanding of data modeling (3NF, Dimensional, Data Vault) and data lake / data mesh architectures.
- Languages & Tools: Proficiency in SQL, Python, and tools like Terraform or Deployment Manager for infrastructure as code.
- Design & Governance: Experience establishing data standards, governance frameworks, and security best practices.
- Collaboration: Excellent communication skills with the ability to work across technical and business teams.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.