Senior technical authority for Databricks engagements, guiding platform decisions and helping delivery teams navigate complex architecture, integration, governance, and operational challenges.
Compensation
The starting pay range for this role is $260k - $275k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location.
Responsibilities
Partner with Blend’s Client Partners and Business Development leaders to shape Databricks opportunities, supporting discovery, proposals, architecture workshops, demonstrations, and hands‑on labs.
Translate client priorities into solution architectures, delivery roadmaps, effort estimates, and clearly defined business outcomes.
Design architectures spanning lakehouse modernization, batch and streaming data engineering, analytics, machine learning, and generative and agentic AI.
Establish approaches for governance, security, data quality, interoperability, performance, and cost management.
Work directly with Databricks account teams, Solutions Architects, and specialists to develop joint solutions and support co‑sell opportunities.
Requirements
Nice to have: Databricks professional certifications
A senior individual contributor role focused on delivering strategic technical training on the Data Intelligence Platform and setting instructional quality standards for a global community of instructors.
Responsibilities
Lead associate- and professional-level instructor-led training across most of the Databricks catalog, virtual and in person.
Partner with curriculum teams on new course development and curriculum revamps so content reflects real delivery needs.
Mentor Databricks Certified Instructors and training partner instructors globally with timely, candid, actionable feedback.
Use CSAT, NPS, and skill-progression data to identify and implement improvements in learner outcomes, instructor operations, tooling, and scheduling.
Advise delivery leadership and account-facing teams on training plans, priorities, and emerging trends.
Lead Data Engineer responsible for architecting and owning data foundations for Honeywell's Industrial AI & Data Platforms, driving technical leadership, and building AI-ready data products.
Compensation
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package.
Responsibilities
Architect end-to-end data pipelines processing terabytes of IoT telemetry on Azure Databricks
Design and optimize real-time ingestion pipelines from Azure Event Hub and Apache Kafka
Accompagner les programmes qui font de Databricks un socle structurant du SI en jouant un rôle de design authority et de leader de transformation, liant architecture, gouvernance, operating model, sécurité, FinOps et delivery.
Responsibilities
Définir vision cible, principes d’architecture et trajectoire.
Arbitrer le rôle de Databricks face aux services natifs Azure, AWS ou GCP.
Structurer la gouvernance, le modèle opérationnel et les standards nécessaires aux usages Data, analytics, ML et GenAI.
Conduire le delivery et faire grandir les équipes.
Aligner Data, Cloud, sécurité et métiers et sécuriser les décisions.
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