Chief Data Strategist

3 days ago

India beBeeData Full time US$ 80,000 - US$ 1,50,000

About the role

As a Data Architect, you will be a key member of our team responsible for helping clients transform their corporate finance function by leveraging advanced analytics.

You will work closely with senior stakeholders to design and implement data strategy in finance space, which includes multiple use cases such as controllership, FP&A and GPO.

Your responsibilities will include developing technical solutions to deliver scalable analytical solutions using cloud and big data technologies.

You will collaborate with Business Consultants and Product Owners to design and implement technical solutions, ensuring seamless communication and organization skills are crucial for this position.

  • Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (GCP)
  • Develop and support conceptual, logical, and physical data models for advanced analytics and ML-driven solutions
  • Ensure integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains

We are looking for an experienced professional with a strong understanding of data modeling techniques and enterprise data management.

Key skills and qualifications:

  • Demonstrated experience in delivering multiple data and analytics solutions on GCP
  • Hands-on experience with data ingestion, processing and orchestration tools such as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data Fusion
  • Deep expertise with GCP data warehousing and analytics services including BigQuery, Cloud Storage, and Looker
  • Familiarity with Data Mesh, Data Fabric and Data products, Data Contracts and experience in data mesh implementation

Benefits:

  • Competitive salary and benefits package
  • Opportunity to work with a highly developed people-first culture
  • Chance to shape and drive the organization's cloud and data strategy

If you're passionate about data architecture and have a strong background in software development methodologies and Dev/Data Ops, we'd love to hear from you

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