Chief Data Strategist

13 hours ago

Gurgaon, Haryana, India beBeeDataArchitect Full time US$ 1,04,000 - US$ 1,30,878

As a Data Architect, you will lead the development of comprehensive data architectures utilizing Azure and Snowflake. You will oversee complex ETL processes, design customer-centric datasets, and drive the creation of advanced data models.

Key Responsibilities
  • Data Architecture
    • Lead the design, development, and implementation of comprehensive enterprise data architectures using cloud platforms and data warehousing tools.
  • Data Transformation
    • Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance.
  • Dataset Design
    • Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems.
  • Data Modeling
    • Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models.
  • SQL and NoSQL
    • Develop, optimize, and troubleshoot complex SQL and NoSQL queries.
  • Data Warehousing
    • Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions.
  • ETL Tools
    • Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi.
  • Collaboration
    • Collaborate with reporting teams, providing architectural guidance and support for technologies like Tableau and PowerBI.
  • Leadership
    • Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement.
Required Skills and Qualifications
  • Data Transformation
    • Strong experience with data transformation and ETL on large datasets.
  • Dataset Design
    • Proven experience in designing customer-centric datasets from sources like CRM, Call Center, and Marketing.
  • Data Modeling
    • Extensive experience with advanced data modeling concepts (Relational, Dimensional, Columnar, Big Data).
  • Query Languages
    • Proficiency in complex SQL or NoSQL query languages.
  • Data Warehousing
    • Expertise in advanced Data Warehouse concepts.
  • ETL Tools
    • Proven experience with industry-standard ETL tools such as Informatica or Unifi.
  • Business Requirements
    • Solid experience with Business Requirements definition, structured analysis, process design, and use case documentation.
  • Reporting Technologies
    • Experience with reporting technologies like Tableau and PowerBI.
  • Software Development
    • Demonstrated experience in professional software development.
  • Organizational Skills
    • Exceptional organizational skills and the ability to manage multiple projects effectively.
  • Communication
    • Strong verbal and written communication skills to interface with sales teams and customers.
  • Certifications
    • Azure certifications are an advantage.

You must have a Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

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