Solutions Architect (MLOps) - Digital Native Business
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The role
As a Solutions Architect on the Digital Native team, you will shape the big data landscape by collaborating with leading data engineering and data science teams.
You will partner with the sales team to provide technical leadership and help customers understand how the platform addresses their business problems.
Consult on Big Data architectures, build and validate proof-of-concepts for strategic projects, and ensure robust integrations with cloud services and third-party tools.
Collaborate with fellow Solutions Architects to support users and promote open-source projects such as Spark, Delta Lake, and MLflow across the developer community.
Requirements include 5+ years in data engineering, data science, or pre-sales/consulting, experience building distributed data systems, proficiency in Python and SQL, and exposure to cloud providers (AWS, Azure, GCP).
This role requires travel to customer sites as needed and offers a remote, global environment with opportunities to advance in architecture and customer success.
You will partner with the sales team to provide technical leadership and help customers understand how the platform addresses their business problems.
Consult on Big Data architectures, build and validate proof-of-concepts for strategic projects, and ensure robust integrations with cloud services and third-party tools.
Collaborate with fellow Solutions Architects to support users and promote open-source projects such as Spark, Delta Lake, and MLflow across the developer community.
Requirements include 5+ years in data engineering, data science, or pre-sales/consulting, experience building distributed data systems, proficiency in Python and SQL, and exposure to cloud providers (AWS, Azure, GCP).
This role requires travel to customer sites as needed and offers a remote, global environment with opportunities to advance in architecture and customer success.
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