Director

As a GCP Data Architect, you will be responsible for architecting, designing, and implementing data solutions on the Google Cloud Platform. You will work closely with cross-functional teams to understand business requirements, define data strategies, and develop scalable, efficient, and cost-effective data architectures leveraging GCP services.Key Responsibilities:Data Architecture Design: Design end-to-end data architectures on the Google Cloud Platform, including data ingestion, storage, processing, and analytics components, leveraging GCP services such as BigQuery, Dataflow, Dataproc, and Pub/Sub.Data Modeling: Define and create data models that meet business requirements and performance objectives, using techniques such as relational modeling, dimensional modeling, and NoSQL modeling.Data Integration: Develop data integration strategies and implement data pipelines to efficiently move, transform, and load data from various sources into GCP data storage and analytics platforms.Data Governance: Establish data governance frameworks, policies, and procedures to ensure data quality, security, privacy, and compliance with regulatory requirements (e.g., GDPR, HIPAA) and industry standards.Data Security and Privacy: Implement robust security measures, access controls, and encryption mechanisms to protect sensitive data assets stored and processed on the Google Cloud Platform.Performance Optimization: Optimize data processing and analytics workflows to maximize performance, scalability, and cost efficiency, leveraging GCP tools and techniques such as partitioning, clustering, and caching.Metadata Management: Define and implement metadata management strategies to catalog, organize, and govern data assets and provide data lineage, impact analysis, and data discovery capabilities.Real-time Data Processing: Architect real-time data processing solutions using GCP streaming services such as Pub/Sub, Dataflow, and Apache Kafka on GCP.Machine Learning and AI Integration: Collaborate with data scientists and ML engineers to integrate machine learning and AI capabilities into data architectures, leveraging GCP ML/AI services such as AI Platform, AutoML, and TensorFlow.Cost Management: Optimize data solutions for cost efficiency by leveraging GCP pricing models, resource provisioning strategies, and monitoring tools to control and optimize cloud spend.Qualifications and Skills:Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.15+ years of extensive experience designing and implementing data solutions on the Google Cloud Platform, with proficiency in GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, and Firestore.Strong understanding of data architecture principles, data modeling techniques, and best practices for data governance, security, and privacy.Experience with programming languages such as Python, Java, or Scala, and proficiency in SQL for data manipulation and querying.Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code tools for automating deployment and management of GCP resources (e.g., Terraform, Deployment Manager).Excellent analytical, problem-solving, and communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.GCP certifications such as Google Cloud Certified - Professional Data Engineer or Google Cloud Certified - Professional Cloud Architect are highly desirable.Exp: 15-20 yrsLocation: Remote (Hyderabad) PRB