The job posting provides minimal detail. The role is identified as a Databricks Solution Architect and Senior Data Engineer, with no specific responsibilities or qualifications beyond the senior data engineering designation.
Senior Data Engineer
ResponsibilitiesSenior Data Engineer
QualificationsSenior Data Engineer
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Leads complex pre-sales technical engagements for Databricks and cloud solutions, including discovery, architecture, proof-of-concept, TCO modeling, proposals, and SOW scoping. Owns a personal sales target and pipeline while ensuring delivery fidelity. Productizes repeatable offerings, develops reference architectures and pricing models, builds partner relationships, mentors architects, applies AI tools to pre-sales workflows, and supports thought leadership and practice development.
Top Skills:
Agentic AiArtificial IntelligenceAWSDatabricksGenerative AiGCPAzureSalesforce
Information Technology
Owns client solution narratives from discovery through proof of concept, translating business problems into scoped technical solutions. Leads presales discovery, architecture workshops, RFP responses, SOW scoping, estimates, staffing plans, demos, and partner co-selling while carrying revenue accountability. Develops AI-focused solution assets, maintains partner relationships, mentors consultants, and ensures delivery fidelity from sale through execution.
Top Skills:
Ai PlatformsArtificial IntelligenceAWSCloud PlatformsData PlatformsDatabricksGCPAzureSalesforce
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