What are the responsibilities and job description for the Data Architect position at Relanto, Inc.?
Role: Data Architect
Duration: 6 months
Location: Bay Area, CA (hybrid)
Technology: Exp in Google Cloud Platform environment
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
Required Skills
- 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