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jobgether

Cloud Data Architect

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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Data Architect based in India.

This role offers the opportunity to design and shape modern, scalable cloud-based data ecosystems for complex enterprise use cases.
You will work closely with stakeholders to translate business needs into robust technical architectures across data engineering, analytics, and AI-driven solutions.
The position involves hands-on engagement with cutting-edge Azure data services, including Databricks, Data Factory, and Synapse.
You will contribute to proof-of-concept development, architecture decisions, and the evolution of data platforms in a fast-paced environment.
A strong focus is placed on performance optimization, cost efficiency, and best practices in cloud-native data engineering.
The environment is highly collaborative, combining strategic architectural thinking with practical engineering execution.

Accountabilities:

  • Lead architectural discussions and workshops with clients to gather business and technical requirements and design scalable cloud data solutions.
  • Translate requirements into end-to-end technical architectures for data lakes, lakehouses, BI, and ML/AI workloads.
  • Design, build, and support data engineering solutions using Azure Databricks, Azure Data Factory, ADLS Gen2, and Synapse Serverless.
  • Develop PoCs, prototypes, and MVPs for innovative cloud and big data solutions, including technology evaluation and scouting.
  • Implement and optimize large-scale data pipelines, ensuring performance tuning (especially in Apache Spark environments).
  • Support production systems through monitoring, troubleshooting, and ongoing enhancements when required.
  • Drive cost optimization initiatives and ensure efficient use of cloud resources.
  • Create and maintain comprehensive technical documentation and architecture guidelines.

    • Requirements:

    • 6–9 years of experience in data engineering, with strong exposure to enterprise-scale cloud data platforms.
    • Deep expertise in Apache Spark, including performance tuning and optimization techniques.
    • Strong hands-on experience with Delta Lake and Databricks on Azure.
    • Advanced proficiency in Python and complex SQL for data processing and transformation.
    • Extensive experience building data pipelines using Azure Data Factory.
    • Solid knowledge of Azure data services such as ADLS Gen2 and Synapse Serverless.
    • Proven ability to architect cloud-based data platforms and evaluate trade-offs between tools (Databricks, Snowflake, MS Fabric, etc.).
    • Experience with streaming technologies such as Kafka or Spark Structured Streaming.
    • Familiarity with cloud concepts including networking, security, and monitoring in Azure environments.
    • Hands-on experience with DevOps practices, CI/CD pipelines, Infrastructure as Code (Terraform), preferably using Azure DevOps.
    • Exposure to Microsoft Fabric is considered a strong advantage.
    • Strong analytical thinking, problem-solving skills, and ability to communicate technical concepts clearly.

      • Benefits:

      • Competitive compensation aligned with experience and market standards
      • Fully remote working arrangement
      • Opportunity to work on advanced cloud-native data platforms and large-scale enterprise projects
      • Exposure to cutting-edge Azure data and AI technologies
      • Dynamic, innovation-driven project environment
      • Continuous learning and upskilling opportunities
      • Collaborative international team setup.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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