Chief Data Strategist

2 weeks ago

Gulbarga, Karnataka, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000
Key Data Architect Position

We are seeking a talented data professional to join our organization and play a key role in designing, developing, and governing our data architecture and pipelines.

The ideal candidate will be collaborative, organized, and think out-of-the-box, with a strong passion for making a difference through healthcare.

Key Responsibilities
  • Design and implement scalable and robust data architectures for data warehousing and enterprise data platforms.
  • Develop and optimize data pipelines and ETL/ELT/CDC workflows using tools such as 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.
  • 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 various 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

This is a unique opportunity to join a dynamic team and make a significant impact in the field of data architecture and analytics. The successful candidate will have the chance to work on cutting-edge projects, collaborate with experienced professionals, and contribute to the growth and success of the organization.

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