Enterprise Data Architect

11 hours ago

Nashik, Maharashtra, India beBeeData Full time ₹ 90,00,000 - ₹ 1,20,00,000

Job Title: Enterprise Data Architect

Description

We are seeking an experienced and skilled enterprise data architect to join our team. The ideal candidate will work on designing, developing, and maintaining scalable back-end services, APIs, and databases, particularly focused on handling complex graph data.

The role involves designing and implementing back-end systems that handle graph data, such as social networks and recommendation engines. You will also develop and optimize graph databases like Neo4j and ArangoDB to store, query, and manage graph data structures efficiently.

Additionally, you will be responsible for developing, deploying, and maintaining scalable, high-performance back-end services and RESTful APIs using Python. You will integrate the back-end with front-end systems and third-party services.

In this role, you will design efficient, scalable databases and perform necessary optimizations to ensure high performance and reliability. You will work with relational and NoSQL databases, with a strong focus on graph databases.

You will collaborate closely with cross-functional teams, including data scientists, front-end developers, and product managers, to ensure seamless integration of data models and services. You will contribute to defining architecture and choosing appropriate technology stacks for graph data use cases.

Requirements
  • Proficiency in Python: Solid experience in Python development, especially in building back-end systems and APIs.
  • Experience with Graph Databases: Practical experience with graph databases like Neo4j, ArangoDB, or similar platforms. Knowledge of graph algorithms and how to apply them to real-world use cases.
  • Understanding of Graph Data Models: Strong understanding of graph theory, data modeling, and the representation of complex relationships in graph data.
  • Web Development and APIs: Experience with RESTful API design and implementation. Familiarity with Django or Flask frameworks for building Python web applications.
  • Database and Query Optimization: Experience in designing, managing, and optimizing relational and NoSQL databases. Hands-on experience in writing efficient queries, both SQL and graph-based.
  • Version Control: Proficiency with Git and collaborative development workflows.
  • Cloud Platforms: Familiarity with cloud-based technologies like AWS, GCP, or Azure, particularly those supporting graph data storage or processing.
What We Offer
  • Competitive compensation package.
  • A collaborative and growth-oriented work environment with opportunities for career development.

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