The ideal candidate will have deep expertise in designing, implementing, and managing data architectures on Google Cloud Platform (GCP) . This role involves leading the end-to-end design of data solutions, defining data governance frameworks, and enabling the organization to leverage data for advanced analytics, AI, and business intelligence initiatives. Key Responsibilities
Architect Scalable Data Solutions: Design and implement high-performance, secure, and scalable data architectures on GCP or AWS 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
Skills
Information TechnologyIT Services and IT Consulting