Data Architect

4 weeks ago


Flower Bazaar, India Frost & Sullivan Full time
About the Role

Frost & Sullivan is seeking a highly skilled Data Architect to join our Digital Products team. The ideal candidate will have experience in designing, building, and maintaining an organization's data architecture.

Duties & Responsibilities:
  • Design and implement efficient data architectures, storage solutions, and data processing workflows, with a focus on stream processing, event queuing capabilities, and advanced CI/CD pipelines.
  • Lead architecture design, development, and deployment of complex data-intensive systems using Kubernetes, data orchestration tools, distributed data processing frameworks, event queuing systems, and other modern technologies.
  • Developing and maintaining accurate data models, data dictionaries, and data flow diagrams.
  • Collaborating with stakeholders to understand data requirements and translating them into technical specifications.
  • Performing data profiling and analysis to identify data quality issues and propose data cleansing and data integration solutions.
  • Implement and maintain robust security measures to protect sensitive data and ensure compliance with security standards and regulations.
  • Ensure the scalability, performance, and security of data-intensive systems, with a particular focus on stream processing, event queuing capabilities, and advanced CI/CD pipelines.
  • Provide technical expertise and leadership to the project team, ensuring successful delivery of high-quality solutions on time and within budget.
  • Stay current with emerging trends and technologies in data-intensive systems and provide thought leadership on best practices and solutions.
Required Skills and Qualifications:
  • 10+ years of experience in designing, implementing, and managing data-intensive systems.
  • Expertise in data-intensive systems, including data architectures, storage solutions, and data processing workflows.
  • Experience with Kubernetes and other container orchestration technologies.
  • Experience with at least one data orchestration tool, such as Apache Airflow, Apache NiFi, Kedro, Stepfunction or Similar Technologies.
  • Experience with at least one distributed data processing framework, such as Apache Spark, Apache Flink, Apache Beam or Similar Technologies.
  • Very strong experience in stream processing, including real-time data processing, data ingestion, and data transformations.
  • Experience with an event queuing system, such as Apache Kafka, AWS Kinesis, or Azure Event Hubs.
  • Strong experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with CI/CD pipelines and tools such as Jenkins, GitLab, or CircleCI, including infrastructure as code, automated testing, and continuous monitoring.
  • Excellent analytical and problem-solving skills.
  • Strong leadership and communication skills with the ability to collaborate with cross-functional teams.
  • Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.
Preferred Skills and Qualifications:
  • Bachelor's degree (or equivalent) in computer science, information technology, engineering, or related discipline.
  • Experience in building or maintaining ETL processes.
  • Professional certification.


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