Cloud Data Architect

Cloud Data Architect

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.