Introduction
We are looking for candidates with 10 +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.
Certifications :
• Google Cloud Certification is Preferred.
Primary Skills :
• 7+ years of experience in data architecture, with at least 3 years in GCP environments.
• Expertise in BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and related GCP services.
• Strong experience in data warehousing, data lakes, and real-time data pipelines.
• Proficiency in SQL, Python, or other data processing languages.
• Experience with cloud security, data governance, and compliance frameworks.
• Strong problem-solving skills and ability to architect solutions for complex data environments.
• Google Cloud Certification (Professional Data Engineer, Professional Cloud Architect) preferred.
• Leadership experience and ability to mentor technical teams.
• Excellent communication and collaboration skills.
Qode is dedicated to helping technical talent around the world find meaningful careers that match their skills and interests. Our platform provides a range of resources and tools that empower job seekers to take control of their careers and connect with top employers across a variety of industries. We believe that every individual deserves to find work that they're passionate about, and we are committed to making that vision a reality.Qode's team of experienced professionals is passionate about creating a better world of work by providing innovative solutions that improve the job search process for both job seekers and employers. We believe in transparency, trust, and collaboration, and we strive to build strong relationships with our customers and partners. Through our platform, we aim to create a more engaged and fulfilled global workforce that drives innovation and growth.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Architect Q&A's