We are seeking an experienced Cloud Data Architect to design, implement, and evangelize scalable, secure data architectures in a cloud environment. The ideal candidate will be a technical expert who not only drives delivery excellence but also collaborates with our sales and pre-sales teams to create assets and artifacts that support business development and client acquisition. This role is perfect for a professional who thrives at the intersection of technical architecture and strategic business growth.
Main Responsibilities
Technical Architecture & Delivery
- Design and build robust cloud-based data platforms , including data lakes, data warehouses, and real-time data pipelines.
- Ensure data quality, consistency, and security across all systems and projects.
- Work closely with cross-functional teams to integrate diverse data sources into a cohesive and performant architecture.
Sales & Pre-Sales Support
Serve as a technical advisor in sales engagements to develop and articulate compelling cloud data solutions .Create reusable assets, solution blueprints, and reference architectures to support RFP responses and sales proposals.Present technical roadmaps and participate in client meetings to demonstrate the value of our solutions to prospective clients.Cross-Functional Collaboration
Act as a liaison between technical delivery and sales teams to ensure a seamless alignment of strategies.Mentor team members and lead technical discussions on architecture best practices .Required Qualifications
A Bachelor's or Master's degree in Computer Science, Information Systems , or a related field.Extensive experience in data architecture and design within cloud environments.A proven track record of supporting pre-sales initiatives and business development.Demonstrated experience with cloud data platforms and big data technologies .Strong analytical, problem-solving, and communication skills.Key Skills & Technologies
Must-Have
Cloud Platforms : Proficiency in AWS, Azure, or Google Cloud .Data Warehousing & Data Lakes : Hands-on experience with technologies like Redshift, BigQuery, or Snowflake .Big Data Technologies : Experience with Hadoop, Spark, and Kafka .Databases : Strong skills in both SQL & NoSQL databases.ETL / ELT : Expertise in using various tools and pipelines.Data Modeling : Advanced knowledge of data modeling and architecture design.Good-to-Have
Infrastructure-as-Code (IaC) : Familiarity with Terraform or CloudFormation .Containerization : Experience with Docker and Kubernetes .Programming : Proficiency in Python, Java, or Scala .Data Governance : Knowledge of data governance and security best practices.Skills Required
cloud platform , Data Warehousing, Big Data Technologies, containerization , Python, Java