Data Architect

7 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Company Description

Cloud Atler is a global cloud marketplace that helps businesses compare, save, and transform how they gain value from cloud services. We aggregate Infrastructure as a Service (IaaS) offerings from major providers like AWS, Azure, GCP, Oracle, and top regional providers to deliver the best cloud deals, saving businesses up to 50%. Our solutions include global comparison, AI compute savings, smart scoring, geo-optimized matching, and transparency tools to reduce cloud waste. Cloud Atler's vision is to become the world’s largest cloud marketplace by 2028.


Role Description

We are looking for a passionate AI Engineer to join our team and help build our Cloud Marketplace platform with a strong focus on Infrastructure Automation and FinOps optimisation. This role is ideal for fresh graduates or early-career professionals who are eager to learn, experiment, and deliver real-world solutions in AI, cloud, and automation.


Key Responsibilities:


Construct and enhance data pipelines and ETL structure to extract pricing data from hyperscaler APIs (AWS, Azure, GCP, Oracle) and regional providers.

- Streamline validation, cleaning, and integration into Typesense/Elasticsearch.

- Design advanced search and marketplace systems incorporating fuzzy, semantic, and NLP-driven capabilities.

- Create ranking algorithms considering price, performance, region, and compliance aspects.


Our Ideal Candidate:

- Over 7 years of expertise in data engineering/architecture utilizing ETL frameworks like Airflow, dbt, Spark, and Kafka.

- Proficient in API integrations, data validation, and schema design.

- Hands-on experience with Typesense, Elasticsearch, or Solr.

- Skilled in Python, Go, or Node.js programming.

- Familiarity with cloud technologies: AWS/Azure/GCP, Docker, Kubernetes, Lambda.

- Additional assets: Background in FinOps, cloud cost management, SaaS marketplaces, or graph databases.


Good to have:


  • Exposure to FinOps tools or cloud cost analysis.
  • Knowledge of vector databases, LLMs, or AI agents.
  • Hands-on projects in cloud + AI space.


What We Offer

  • Ground-floor opportunity in a fast-growing startup.
  • Work with a team solving one of the biggest challenges in cloud adoption.
  • Competitive salary
  • Remote flexibility with global exposure.


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