Enterprise Data Architect Specialist

1 day ago


Kolkata, West Bengal, India Webologix Ltd INC Full time

We are seeking a highly skilled Enterprise Data Architect Specialist to join our team at Webologix Ltd/ INC in Kolkata, IN.

This is a full-time position with an estimated salary range of $120,000 - $180,000 per annum, commensurate with experience.

About the Role:

The successful candidate will be responsible for leading the design and implementation of scalable and high-performance OLTP database systems. They will develop data architecture strategies to meet business needs and ensure data integrity, availability, and security.

Key Responsibilities:

  • Architectural Design: Lead the design and implementation of scalable and high-performance OLTP database systems.
  • Database Management: Oversee the configuration, tuning, and optimization of RDBMS (Relational Database Management Systems) to handle high transaction volumes efficiently.
  • Data Integration: Collaborate with data engineers and developers to integrate various data sources into the OLTP environment.
  • Cloud Solutions: Design and implement cloud-based database solutions using any cloud platform (e.g., AWS, Azure, Google Cloud) to support data management and analytics.
  • Technical Leadership: Provide technical guidance and mentorship to development teams on best practices for database design, data management, and the use of Python for data processing.

Requirements:

  • Data Architecture: Strong expertise in designing data architectures for OLTP systems, including experience with data modeling, normalization, and transaction management.
  • RDBMS Expertise: Proven experience with major RDBMS platforms (e.g., PostgreSQL, MySQL, Oracle, SQL Server), including performance tuning and optimization.
  • Python Programming: Proficiency in Python, with a focus on using it for data processing, automation, and integration tasks.
  • Apache Spark with Python: Hands-on experience with Apache Spark, particularly with PySpark, for large-scale data processing and transformation.

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field. Strong analytical and problem-solving skills with a track record of resolving complex database-related issues. Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.



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