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Remote role with mid-level title and data focus but niche Databricks requirement yields medium competition.
Platform and cloud-specific skills are moderately transferable across industries.
Mandatory Databricks certification, 5+ years, and multi-platform hands-on experience make filters strict.
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Design and architect end-to-end Data & Analytics solutions including modern cloud-based platforms and AI-enabled ecosystems aligned with client objectives.
Act as a trusted technical advisor, leading solution discovery and architecture sessions, and providing technical leadership during client project delivery.
Split time evenly between client delivery (50%) and presales activities such as solution design, scoping, proposal creation, and supporting RFI/RFP responses.
5+ years of experience in Data & Analytics.
Hands-on expertise with at least 2 Data & Analytics platforms, including mandatory Databricks experience.
Databricks Professional certification is mandatory.
Strong client-facing and technical communication skills to lead architecture discussions and present solutions.
Experienced in modern data architecture patterns including lakehouse, data mesh, and cloud-native approaches with ability to translate business needs into scalable technical solutions.
Capability to operate effectively across delivery and presales with strategic thinking and technical hands-on execution skills.
Comfortable working in fast-paced, matrixed environments with experience mentoring and collaborating across multidisciplinary teams.