Chief Data Infrastructure Specialist

1 week ago

Nellore, Andhra Pradesh, India beBeeDataArchitect Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Data Architect Job

We are looking for a skilled Data Architect to design and develop our data architecture and pipelines.

The ideal candidate will be someone who has worked on multiple projects with GCP-Big Query, Data Proc technologies.

This role is for an individual who is passionate about making a difference through healthcare.

Key Responsibilities:
  • Design scalable and robust data architectures for data warehousing and enterprise data platforms.
  • Develop and optimize data pipelines and ETL/ELT/CDC workflows using tools like Fivetran and Cloud Composer.
  • Collaborate with data scientists, product managers, and business stakeholders to define data requirements and create logical and physical data models.
  • Manage and administer various database systems, including BigQuery, SAP HANA, and PostgreSQL.
  • Evaluate and ensure data quality, integrity, and security across all data platforms and pipelines.
  • Work with AI/ML teams to design data serving layers and feature stores that support Vertex AI workloads.
  • Design and develop reporting frameworks and data marts to support business intelligence needs.
  • Integrate data platforms with enterprise systems (CRMs, ERPs) and third-party APIs.
  • Define and implement data governance, master data management, and data cataloging strategies.
  • Contribute to the full data lifecycle: requirements gathering, architecture, data modeling, development, testing, and deployment.
  • Troubleshoot and resolve data platform issues to ensure high availability and optimal performance.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
  • Proficiency in one or more backend languages/frameworks, with a strong preference for Python or Go.
  • Experience with building RESTful APIs and designing microservices for data delivery.
  • Solid grasp of data modeling fundamentals, including Kimball and Inmon methodologies.
  • Proficiency in writing complex SQL queries and experience with SQL and NoSQL databases.
  • Familiarity with data warehousing concepts and best practices, including CDC.
  • Strong version-control habits (Git) and experience with CI/CD pipelines.
  • Excellent problem-solving, communication, and collaboration skills.
  • Passion for continuous learning and adapting to emerging data technologies.

Benefits:

  • Hands-on experience designing and deploying production-grade data warehouses.
  • Deep experience with Google Cloud Platform (GCP): BigQuery for large-scale analytical workloads.
  • Cloud Composer for orchestrating complex data pipelines.
  • Vertex AI for AI/ML model serving and feature stores.
  • Working knowledge of data governance frameworks, master data management, and data cataloging tools.
  • Business-intelligence expertise in building dashboards and reports with Power BI or Tableau.
  • Familiarity with other data technologies such as SAP HANA.

Others:

Individuals with a strong passion for innovation and collaboration are encouraged to apply.

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