Serve as customer-facing senior technology advisor to C-level public sector leaders on data/AI modernization and mission transformation using the Databricks Data Intelligence Platform. Requires 15+ years experience in enterprise tech, public sector transformation, modern data architectures, and cloud platforms.
Sr. Solutions Architect partnering with Account Executives to define technical strategy for large Retail/CPG accounts. Leads data-driven transformation and ML/AI adoption of Databricks platform; requires 8+ years enterprise experience including 4+ years pre-sales.
Solutions Architect partnering with sales to provide technical leadership, design big data architectures, deliver POCs for data/ML projects, and guide Financial Services customers on Databricks adoption. Requires 7+ years pre-sales architecture experience, distributed systems knowledge, and proficiency in at least one programming language plus cloud platforms.
Pre-sales Solutions Architect focused on Retail/CPG accounts. Partners with AEs to define technical strategy, drive ML/AI adoption of Databricks platform, build technical champions, and lead data-driven transformations at large enterprise customers.
Pre-sales Solutions Architect focused on Retail/CPG accounts. Leads technical strategy for large enterprise customers to drive Databricks adoption, ML/AI use cases, data transformation, and build technical champions. Requires 5+ years in large accounts and 3+ years pre-sales with big data/cloud expertise.
Pre-sales Solutions Architect focused on Retail/CPG accounts. Partners with AEs to define technical strategy, drive ML/AI adoption of Databricks platform, build technical champions, and lead data-driven transformations at large enterprise customers.
Senior Engagement Manager leading complex Professional Services programs for Databricks customers. Independently drives sales, implementation, upsell opportunities, and value realization for large accounts with 10+ years senior customer-facing experience.
Pre-sales Solutions Architect partnering with sales teams to develop customer strategies, deliver technical POCs, influence executives, and drive adoption of Databricks Data Intelligence Platform. Requires 10+ years customer-facing technical experience, coding skills, and cloud expertise.
Pre-sales Solutions Architect partnering with Enterprise Account Executives to define technical strategy for large accounts. Leads data-driven transformation and ML/AI adoption for High Tech and Manufacturing customers using Databricks platform. Requires strong technical background in big data, cloud, and production programming.
Pre-sales Solutions Architect partnering with AEs to define technical strategy and drive ML/AI adoption for large Oil, Gas & Energy accounts. Requires deep big data/data science/cloud expertise, production programming experience, and proven success with global enterprise accounts.
Guide strategic customers through cloud data engineering and warehousing transformations, architecting production pipelines and lakehouse solutions on the Databricks platform. Requires 8+ years of hands-on data engineering experience with Spark, SQL, Python/Scala/Java, and cloud platforms.
Lead post-sale technical strategy and execution for strategic Databricks customers, driving adoption, production go-live, and value realization across complex data and AI workloads. Requires 5+ years of technical project delivery experience in data/AI, customer-facing technical roles, and programming skills in Python, SQL, or Scala.
Hybrid technical-commercial role leading post-sale technical strategy for strategic Databricks customers. Drive adoption, go-live, and consumption of Data/AI workloads while managing complex programs and executive relationships.
Lead pre-sales technical engagements for the Databricks Data Intelligence Platform with financial services customers. Design distributed data architectures, run POCs, and drive adoption of Spark, Delta Lake, and MLflow.
Lead pre-sales technical engagements for the Databricks Data Intelligence Platform within Financial Services. Design distributed data architectures, run POCs, and guide customers through implementation of Spark, Delta Lake, and MLflow solutions.
Guide customers on Databricks administration and security on GCP. Architect production deployments, provide technical leadership, and support pre/post-sales activities. Requires 5+ years GCP expertise and 2+ years big data experience.
Guide customers through cloud data engineering transformations and architect production data pipelines on the Databricks platform. Requires 5+ years of hands-on data engineering experience with Spark, streaming, lakehouse architecture, and cloud platforms.
Act as a trusted technical advisor and pre-sales Solutions Architect for the Databricks Data Intelligence Platform, partnering with Account Executives to drive complex customer engagements and coach junior team members.
Lead and scale a team of Forward Deployed Engineers and AI Engineers delivering large-scale data migrations, AI/ML platforms, and enterprise analytics programs for strategic Databricks customers.
Hands-on customer-facing Forward Deployed Engineer delivering production data, AI, and application solutions on the Databricks platform for enterprise clients.
Hybrid technical-commercial role leading post-sale technical strategy and execution for strategic Databricks customers. Drive adoption, onboarding, and production success of Data/AI workloads while managing complex programs and executive relationships.
Drives product adoption strategy and GTM execution for a Databricks product line. Partners with PMs and field leaders to build scalable programs, align roadmaps, and achieve revenue targets.
Hybrid technical-commercial role leading post-sale technical strategy for strategic Databricks customers. Drive adoption, go-live, and consumption of Data/AI workloads while managing complex programs and executive relationships.
Pre-sales Solutions Architect partnering with Enterprise AEs to define technical strategy for large enterprise accounts, driving adoption of Databricks ML & AI solutions through POCs and technical leadership.
Senior pre-sales Solutions Architect leading technical strategy and ML/AI adoption for large enterprise manufacturing accounts. Partners with AEs to drive data-driven transformation and build technical champions.
Sr Technical Solutions Engineer supporting secure GovCloud and air-gapped data/AI platform operations for public sector and defense customers. Requires active TS/SCI clearance and 5+ years in systems/cloud engineering.
Lead technical pre-sales for Databricks in the Public Sector (Defense Industrial Base). Architect distributed data solutions, run POCs, and drive adoption of Spark, Delta Lake, and MLflow with government customers.
Senior Solutions Architect partnering with Account Executives to develop engagement strategies, coach junior architects, and serve as trusted advisor for complex data analytics architecture and adoption of the Databricks Data Intelligence Platform.
Lead and coach a team of Delivery Solutions Architects helping Digital Native Business customers accelerate Data, AI, and ML workloads to production on the Databricks platform. Requires 7+ years customer-facing technical experience including 3+ years leading teams.
Lead and scale a team of Delivery Solution Architects driving post-sales success and production deployments for Databricks' largest Financial Services customers.
Hybrid technical-commercial role leading post-sale technical strategy for strategic public sector accounts. Drive adoption of Databricks platform through technical account leadership, customer success, and coordination across internal teams.
Provide technical leadership and architecture consulting to help enterprise customers solve big data, analytics, and AI/ML challenges using Databricks platform. Requires 5+ years in data engineering or technical pre-sales roles, strong Python/SQL skills, and experience with distributed systems and public clouds.
Trusted technical ML & AI expert guiding customers in architecting production-grade ML & AI applications on Databricks platform. Requires 5+ years hands-on ML experience in cloud infrastructure or LLMs/agentic systems.
Lead post-sale technical strategy and execution for Databricks platform adoption in strategic accounts. Drive customer success as the technical lead across products while building executive relationships and accelerating usage and ROI.
Owns non-technical lifecycle of Forward Deployed Engineering engagements with strategic customers, from C-suite scoping and PRD creation to agile project delivery and solution adoption. Partners with sales and engineers on high-value AI pilots requiring product mindset and execution drive.
Technical partner to Accenture, driving joint GenAI solutions, customer deal support, product feedback, and ecosystem events. Requires 8+ years in partner-facing technical roles with strong communication and ML/data science familiarity.
Leads post-sale technical strategy and execution for AI native Databricks customers, driving onboarding, adoption, and production of complex data/AI workloads. Requires 7+ years in data/AI delivery, programming in Python/SQL/Scala, and customer-facing architecture experience.
Leads technical strategy and asset creation for Databricks in Financial Services sub-verticals, bridging product capabilities with industry outcomes. Engages customers and partners, enables field teams, requiring 15+ years pre-sales experience with Spark, Delta Lake, MLflow, and cloud platforms plus deep FS domain knowledge.
Leads post-sale technical strategy and execution for Databricks platform adoption in strategic financial services accounts. Drives onboarding, enablement, and production acceleration of data/AI workloads with 7+ years experience in Data/AI delivery and programming in Python, SQL, or Scala.
Resident Solutions Architect works on customer big data projects using Databricks, providing data engineering, architecture design, implementation, and support. Requires 6+ years in data engineering, Spark expertise, cloud platforms, Python/Scala coding, and client project delivery.
Resident Solutions Architect works on customer big data projects using Databricks, providing data engineering, architecture design, implementation, and support. Requires 6+ years in data engineering, Spark expertise, cloud knowledge, Python/Scala coding, and Top Secret clearance.
Resident Solutions Architect delivers technical projects using Databricks for public sector clients, including architecture design, implementation, and support for big data and AI initiatives. Requires 6+ years in data engineering, Spark expertise, cloud platforms, and US Top Secret Clearance.
Senior Solutions Architect partners with sales to develop customer engagement strategies, influences stakeholders on Databricks Data Intelligence Platform adoption, and provides expert technical guidance on data analytics architecture. Requires coding experience in Python/Java/Scala, Spark knowledge, and hands-on cloud POCs.
Leads technical adoption of Databricks platform for emerging enterprise customers, designs data/AI architectures, builds proofs of concept, and evangelizes open-source projects like Spark and Delta Lake. Requires 5+ years customer-facing experience in data engineering/science and cloud platforms.
Leads technical sales for Databricks platform in Public Sector, partnering with sales to architect solutions, build POCs, and guide customer adoption using Spark, Delta Lake, and cloud providers. Requires 8+ years customer-facing experience and expertise in distributed data systems.
Works on customer big data projects using Databricks, designing architectures, implementing data engineering and AI solutions, and providing escalated support. Requires 6+ years in data engineering, Spark expertise, cloud platforms, Python/Scala coding, and client project delivery skills.
Resident Solutions Architect delivers billable professional services on Databricks platform, designing/implementing big data/AI projects, providing architecture consulting, and escalated support for clients. Requires 6+ years data engineering experience, Spark expertise, cloud knowledge (AWS/Azure/GCP), and Python/Scala coding.
Resident Solutions Architect delivers billable professional services on Databricks platform, designing big data architectures, implementing data engineering/AI projects, and providing customer support. Requires 6+ years in data engineering, Spark expertise, cloud proficiency (AWS/Azure/GCP), and Python/Scala coding.
Resident Solutions Architect delivers billable professional services on Databricks platform, handling data engineering, AI projects, architecture design, and customer integrations. Requires 6+ years in data platforms, Spark expertise, cloud proficiency (AWS/Azure/GCP), Python/Scala coding, with 20% travel.
Leads technical sales for Databricks platform in Public Sector, partnering with sales to architect solutions using Spark, Delta Lake, and cloud providers. Requires 8+ years experience in pre-sales, distributed systems, and programming in Python/Scala/Java/SQL.
Serve as customer-facing senior technology advisor to C-level public sector leaders on data/AI modernization and mission transformation using the Databricks Data Intelligence Platform. Requires 15+ years experience in enterprise tech, public sector transformation, modern data architectures, and cloud platforms.
Sr. Solutions Architect partnering with Account Executives to define technical strategy for large Retail/CPG accounts. Leads data-driven transformation and ML/AI adoption of Databricks platform; requires 8+ years enterprise experience including 4+ years pre-sales.
Solutions Architect partnering with sales to provide technical leadership, design big data architectures, deliver POCs for data/ML projects, and guide Financial Services customers on Databricks adoption. Requires 7+ years pre-sales architecture experience, distributed systems knowledge, and proficiency in at least one programming language plus cloud platforms.
Pre-sales Solutions Architect focused on Retail/CPG accounts. Partners with AEs to define technical strategy, drive ML/AI adoption of Databricks platform, build technical champions, and lead data-driven transformations at large enterprise customers.
Pre-sales Solutions Architect focused on Retail/CPG accounts. Leads technical strategy for large enterprise customers to drive Databricks adoption, ML/AI use cases, data transformation, and build technical champions. Requires 5+ years in large accounts and 3+ years pre-sales with big data/cloud expertise.
Pre-sales Solutions Architect focused on Retail/CPG accounts. Partners with AEs to define technical strategy, drive ML/AI adoption of Databricks platform, build technical champions, and lead data-driven transformations at large enterprise customers.
Senior Engagement Manager leading complex Professional Services programs for Databricks customers. Independently drives sales, implementation, upsell opportunities, and value realization for large accounts with 10+ years senior customer-facing experience.
Pre-sales Solutions Architect partnering with sales teams to develop customer strategies, deliver technical POCs, influence executives, and drive adoption of Databricks Data Intelligence Platform. Requires 10+ years customer-facing technical experience, coding skills, and cloud expertise.
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Pre-sales Solutions Architect partnering with Enterprise Account Executives to define technical strategy for large accounts. Leads data-driven transformation and ML/AI adoption for High Tech and Manufacturing customers using Databricks platform. Requires strong technical background in big data, cloud, and production programming.
Pre-sales Solutions Architect partnering with AEs to define technical strategy and drive ML/AI adoption for large Oil, Gas & Energy accounts. Requires deep big data/data science/cloud expertise, production programming experience, and proven success with global enterprise accounts.
Guide strategic customers through cloud data engineering and warehousing transformations, architecting production pipelines and lakehouse solutions on the Databricks platform. Requires 8+ years of hands-on data engineering experience with Spark, SQL, Python/Scala/Java, and cloud platforms.
Lead post-sale technical strategy and execution for strategic Databricks customers, driving adoption, production go-live, and value realization across complex data and AI workloads. Requires 5+ years of technical project delivery experience in data/AI, customer-facing technical roles, and programming skills in Python, SQL, or Scala.
Hybrid technical-commercial role leading post-sale technical strategy for strategic Databricks customers. Drive adoption, go-live, and consumption of Data/AI workloads while managing complex programs and executive relationships.
Lead pre-sales technical engagements for the Databricks Data Intelligence Platform with financial services customers. Design distributed data architectures, run POCs, and drive adoption of Spark, Delta Lake, and MLflow.
Lead pre-sales technical engagements for the Databricks Data Intelligence Platform within Financial Services. Design distributed data architectures, run POCs, and guide customers through implementation of Spark, Delta Lake, and MLflow solutions.
Guide customers on Databricks administration and security on GCP. Architect production deployments, provide technical leadership, and support pre/post-sales activities. Requires 5+ years GCP expertise and 2+ years big data experience.
Guide customers through cloud data engineering transformations and architect production data pipelines on the Databricks platform. Requires 5+ years of hands-on data engineering experience with Spark, streaming, lakehouse architecture, and cloud platforms.
Act as a trusted technical advisor and pre-sales Solutions Architect for the Databricks Data Intelligence Platform, partnering with Account Executives to drive complex customer engagements and coach junior team members.
Lead and scale a team of Forward Deployed Engineers and AI Engineers delivering large-scale data migrations, AI/ML platforms, and enterprise analytics programs for strategic Databricks customers.
Hands-on customer-facing Forward Deployed Engineer delivering production data, AI, and application solutions on the Databricks platform for enterprise clients.
Hybrid technical-commercial role leading post-sale technical strategy and execution for strategic Databricks customers. Drive adoption, onboarding, and production success of Data/AI workloads while managing complex programs and executive relationships.
Drives product adoption strategy and GTM execution for a Databricks product line. Partners with PMs and field leaders to build scalable programs, align roadmaps, and achieve revenue targets.
Hybrid technical-commercial role leading post-sale technical strategy for strategic Databricks customers. Drive adoption, go-live, and consumption of Data/AI workloads while managing complex programs and executive relationships.
Pre-sales Solutions Architect partnering with Enterprise AEs to define technical strategy for large enterprise accounts, driving adoption of Databricks ML & AI solutions through POCs and technical leadership.
Senior pre-sales Solutions Architect leading technical strategy and ML/AI adoption for large enterprise manufacturing accounts. Partners with AEs to drive data-driven transformation and build technical champions.
Sr Technical Solutions Engineer supporting secure GovCloud and air-gapped data/AI platform operations for public sector and defense customers. Requires active TS/SCI clearance and 5+ years in systems/cloud engineering.
Lead technical pre-sales for Databricks in the Public Sector (Defense Industrial Base). Architect distributed data solutions, run POCs, and drive adoption of Spark, Delta Lake, and MLflow with government customers.
Senior Solutions Architect partnering with Account Executives to develop engagement strategies, coach junior architects, and serve as trusted advisor for complex data analytics architecture and adoption of the Databricks Data Intelligence Platform.
Lead and coach a team of Delivery Solutions Architects helping Digital Native Business customers accelerate Data, AI, and ML workloads to production on the Databricks platform. Requires 7+ years customer-facing technical experience including 3+ years leading teams.
Lead and scale a team of Delivery Solution Architects driving post-sales success and production deployments for Databricks' largest Financial Services customers.
Hybrid technical-commercial role leading post-sale technical strategy for strategic public sector accounts. Drive adoption of Databricks platform through technical account leadership, customer success, and coordination across internal teams.
Provide technical leadership and architecture consulting to help enterprise customers solve big data, analytics, and AI/ML challenges using Databricks platform. Requires 5+ years in data engineering or technical pre-sales roles, strong Python/SQL skills, and experience with distributed systems and public clouds.
Trusted technical ML & AI expert guiding customers in architecting production-grade ML & AI applications on Databricks platform. Requires 5+ years hands-on ML experience in cloud infrastructure or LLMs/agentic systems.
Lead post-sale technical strategy and execution for Databricks platform adoption in strategic accounts. Drive customer success as the technical lead across products while building executive relationships and accelerating usage and ROI.
Owns non-technical lifecycle of Forward Deployed Engineering engagements with strategic customers, from C-suite scoping and PRD creation to agile project delivery and solution adoption. Partners with sales and engineers on high-value AI pilots requiring product mindset and execution drive.
Technical partner to Accenture, driving joint GenAI solutions, customer deal support, product feedback, and ecosystem events. Requires 8+ years in partner-facing technical roles with strong communication and ML/data science familiarity.
Leads post-sale technical strategy and execution for AI native Databricks customers, driving onboarding, adoption, and production of complex data/AI workloads. Requires 7+ years in data/AI delivery, programming in Python/SQL/Scala, and customer-facing architecture experience.
Leads technical strategy and asset creation for Databricks in Financial Services sub-verticals, bridging product capabilities with industry outcomes. Engages customers and partners, enables field teams, requiring 15+ years pre-sales experience with Spark, Delta Lake, MLflow, and cloud platforms plus deep FS domain knowledge.
Leads post-sale technical strategy and execution for Databricks platform adoption in strategic financial services accounts. Drives onboarding, enablement, and production acceleration of data/AI workloads with 7+ years experience in Data/AI delivery and programming in Python, SQL, or Scala.
Resident Solutions Architect works on customer big data projects using Databricks, providing data engineering, architecture design, implementation, and support. Requires 6+ years in data engineering, Spark expertise, cloud platforms, Python/Scala coding, and client project delivery.
Resident Solutions Architect works on customer big data projects using Databricks, providing data engineering, architecture design, implementation, and support. Requires 6+ years in data engineering, Spark expertise, cloud knowledge, Python/Scala coding, and Top Secret clearance.
Resident Solutions Architect delivers technical projects using Databricks for public sector clients, including architecture design, implementation, and support for big data and AI initiatives. Requires 6+ years in data engineering, Spark expertise, cloud platforms, and US Top Secret Clearance.
Senior Solutions Architect partners with sales to develop customer engagement strategies, influences stakeholders on Databricks Data Intelligence Platform adoption, and provides expert technical guidance on data analytics architecture. Requires coding experience in Python/Java/Scala, Spark knowledge, and hands-on cloud POCs.
Leads technical adoption of Databricks platform for emerging enterprise customers, designs data/AI architectures, builds proofs of concept, and evangelizes open-source projects like Spark and Delta Lake. Requires 5+ years customer-facing experience in data engineering/science and cloud platforms.
Leads technical sales for Databricks platform in Public Sector, partnering with sales to architect solutions, build POCs, and guide customer adoption using Spark, Delta Lake, and cloud providers. Requires 8+ years customer-facing experience and expertise in distributed data systems.
Works on customer big data projects using Databricks, designing architectures, implementing data engineering and AI solutions, and providing escalated support. Requires 6+ years in data engineering, Spark expertise, cloud platforms, Python/Scala coding, and client project delivery skills.
Resident Solutions Architect delivers billable professional services on Databricks platform, designing/implementing big data/AI projects, providing architecture consulting, and escalated support for clients. Requires 6+ years data engineering experience, Spark expertise, cloud knowledge (AWS/Azure/GCP), and Python/Scala coding.
Resident Solutions Architect delivers billable professional services on Databricks platform, designing big data architectures, implementing data engineering/AI projects, and providing customer support. Requires 6+ years in data engineering, Spark expertise, cloud proficiency (AWS/Azure/GCP), and Python/Scala coding.
Resident Solutions Architect delivers billable professional services on Databricks platform, handling data engineering, AI projects, architecture design, and customer integrations. Requires 6+ years in data platforms, Spark expertise, cloud proficiency (AWS/Azure/GCP), Python/Scala coding, with 20% travel.
Leads technical sales for Databricks platform in Public Sector, partnering with sales to architect solutions using Spark, Delta Lake, and cloud providers. Requires 8+ years experience in pre-sales, distributed systems, and programming in Python/Scala/Java/SQL.