We are looking for candidates with 7+years of experience in data architect role.
Responsibilities include:
- Design and implement scalable, secure, and cost-effective data architectures using GCP.
- Lead the design and development of data pipelines with BigQuery, Dataflow, and Cloud Storage.
- Architect and implement data lakes, data warehouses, and real-time data processing solutions on GCP.
- Ensure data architecture aligns with business goals, governance, and compliance requirements.
- Collaborate with stakeholders to define data strategy and roadmap.
- Design and deploy BigQuery solutions for optimized performance and cost efficiency.
- Build and maintain ETL/ELT pipelines for large-scale data processing.
- Leverage Cloud Pub/Sub, Dataflow, and Cloud Functions for real-time data integration.
- Implement best practices for data security, privacy, and compliance in cloud environments.
- Integrate machine learning workflows with data pipelines and analytics tools.
- Define data governance frameworks and manage data lineage.
- Lead data modeling efforts to ensure consistency, accuracy, and performance across systems.
- Optimize cloud infrastructure for scalability, performance, and reliability.
- Mentor junior team members and ensure adherence to architectural standards.
- Collaborate with DevOps teams to implement Infrastructure as Code (Terraform, Cloud Deployment Manager).
- Ensure high availability and disaster recovery solutions are built into data systems.
- Conduct technical reviews, audits, and performance tuning for data solutions.
- Design solutions for multi-region and multi-cloud data architecture.
- Stay updated on emerging technologies and trends in data engineering and GCP.
- Drive innovation in data architecture, recommending new tools and services on GCP