Data Architect

Relanto, Inc.

San Francisco, CA, United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Third Normal Form Airflow Data Analysis BigQuery Cloud Database Cloud Storage Data as a Services Data Architecture Data Governance Data Integration Extract Transform Load (ETL) Data Vault Modeling

+16 more

Data Warehousing Data Flow Control Python (Programming Language) Meta-Data Management Performance Tuning Cloudera SQL Databases Google Cloud Cloud Platform System Data Ingestion Data Strategy Data Lakes Data Management Terraform Stream Processing Data Pipelines

Job description

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

Requirements

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