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Cloud Data Architect

Cloud Data Architect

ConfidentialMumbai
30+ days ago
Job description

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

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