Chief Data Strategist

1 day ago

Vijayawada, Andhra Pradesh, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000

We are seeking a talented Data Architect to design, develop and govern our data architecture and pipelines. Ideally someone who has worked on multiple projects with GCP Big Query, Data Proc technologies.

The candidate will need to be collaborative, organized, think out-of-the-box, and be ready to pursue new opportunities. Most importantly, this role is for an individual who is passionate about 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 our 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.
  • Document technical designs data lineage and architecture for cross-functional reference.
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.
Preferred Qualifications
  • 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.
  • Experience with other cloud providers AWS Azure and their data services.
  • Working knowledge of data governance frameworks master data management and data cataloging tools.
  • Experience with data ingestion tools like Fivetran.
  • Business-intelligence expertise in building dashboards and reports with Power BI or Tableau.
  • Familiarity with other data technologies such as SAP HANA.
  • Understanding of MLOps concepts and their application to data pipelines.
  • Contributions to open-source data projects or technical blogging/presentation

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