Enterprise Data Architecture Professional

5 days ago

Noida, Uttar Pradesh, India beBeeData Full time ₹ 7,00,000 - ₹ 12,00,000
Senior Data Architect Role

We are seeking a highly skilled Senior Data Architect to lead the design and implementation of comprehensive data architectures, primarily leveraging Azure and Snowflake platforms. This individual will oversee complex ETL processes, design customer-centric datasets, and drive the creation of advanced data models.

Key Responsibilities:
  • Design, develop, and implement enterprise data architectures on Azure and Snowflake.
  • Guide complex data transformation and ETL processes for large datasets, ensuring data integrity, quality, and performance.
  • Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems.
  • Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models.
  • Develop, optimize, and troubleshoot complex SQL and NoSQL queries.
Required Skills and Qualifications:
  • Strong experience with data transformation and ETL on large datasets.
  • Proven expertise in designing customer-centric datasets from sources like CRM, Call Center, and Marketing.
  • Extensive knowledge of advanced data modeling concepts (Relational, Dimensional, Columnar, Big Data).
  • Proficiency in complex SQL or NoSQL query languages.
  • Experience with industry-standard ETL tools such as Informatica or Unifi.
  • Solid understanding of business requirements definition, structured analysis, process design, and use case documentation.
  • Experience with reporting technologies like Tableau and PowerBI.
  • Demonstrated experience in professional software development.
  • Excellent organizational skills and the ability to manage multiple projects effectively.
  • Strong verbal and written communication skills.
Benefits:
  • Opportunity to work with cutting-edge cloud platforms and data warehousing solutions.
  • Chance to drive innovation and continuous improvement in data solution delivery.
Qualification:
  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

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