Business Intelligence Architect

2 days ago


Stockholm, Stockholm, Sweden TN Sweden Full time

The Ideal Candidate

We are looking for a talented Technical Consultant to join our team in Stockholm, Sweden. The ideal candidate will have a strong background in Data Science/GenAI/ML or Data Engineering and/or Data Warehousing, with excellent communication and interpersonal skills. They should be proficient in core programming languages such as Python, Java, or Scala, and have knowledge in Big Data Analytics domains with exposure to advanced proofs-of-concept and major public cloud platforms (AWS, GCP, Azure). Additionally, they should be able to work independently and deliver high-quality results in a fast-paced environment.

Key Responsibilities:

  • Develop successful client relationships to provide technical and business value in collaboration with Account Executives and Senior Solutions Architects.
  • Cultivate excitement among clients about Databricks through hands-on evaluation and Spark programming, integrating with the cloud ecosystem and 3rd party applications.
  • Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
  • Become a Big Data Analytics advisor on aspects of architecture and design.
  • Support customers by authoring reference architectures, how-tos, and demo applications.

Required Skills and Qualifications

  • Experience in customer-facing roles with a background in Data Science/GenAI/ML or Data Engineering and/or Data Warehousing.
  • Fluent written and spoken language skills; Swedish is an advantage, while Danish is required.
  • Pre-sales or post-sales experience working with external clients is beneficial.
  • Familiarity with creating narratives, answering customer questions, aligning agendas with interests, and achieving outcomes.
  • A trusted advisor skillset requires independent delivery of technical propositions, identifying customer pain points, and explaining areas for business value.
  • Proficiency in core programming languages such as Python, Java, or Scala.
  • Knowledge in Big Data Analytics domains with exposure to advanced proofs-of-concept and major public cloud platforms (AWS, GCP, Azure).
  • Experience diving deeper into solution architecture and design.


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