Field Implementation Manager Jobs

As a Sr. Solutions Architect on the team supporting the strategic Digital Natives Business (DNB) customers, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Lead technical discovery and design architectures, implement proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows. You will also help customers build solutions that integrate with cloud services, home grown tools, and other 3rd party applications. Act as strategic technical advisor to customers to help them drive business outcomes. Collaborate with your fellow Solutions Architects, using your skills to support each other and our users. Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, MLflow, Omnigent) across the developer community. What we look for: 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in and debugging Python and SQL Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in one of the following: Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, PyTorch, Tensorflow ) Available to travel to customers in yo

P-273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and our users Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in, and debugging, Python and SQL Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in one of the following: Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, pytorch, Tensorflow ) Avai

FEQ427R545 As a Solutions Architect part of a Global Capability Center(GCC) focused Field Engineering team, you will shape the future of the Data and AI landscape by working with the most sophisticated Data and AI teams in the world, including Fortune 500 enterprises and global AI-forward SaaS customers operating globally. In this role, you will be deeply embedded with our named strategic accounts, serving as a trusted long-term technical advisor while also collaborating with internal sales, product, and engineering teams. You will help our customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in data engineering, analytics, AI and data science. Reporting to the Field Engineering Manager, you will collaborate with our most strategic global prospects and customers, partner with regional field teams across geographies, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions. Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on Databricks. Partner with the sales team and provide hands-on technical

FEQ427R29 Solution Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in

FEQ425R228 As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. This is a Hybrid role, based in Mumbai. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and o

FEQ327R128 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. Important Eligibility Requirement: Due to contractual requirements supporting U.S. Public Sector customers, this position requires U.S. citizenship. Candidates who are not U.S. citizens are not eligible for consideration. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: U.S. citizenship is required due to contractual requirements supporting U.S. Public Sector customers. 8+ years in a customer-fa

FEQ327R400 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )

FEQ327R324 As a Solutions Architect part of a Global Capability Center(GCC) focused Field Engineering team, you will shape the future of the Data and AI landscape by working with the most sophisticated Data and AI teams in the world, including Fortune 500 enterprises and global AI-forward SaaS customers operating globally. In this role, you will be deeply embedded with our named strategic accounts, serving as a trusted long-term technical advisor while also collaborating with internal sales, product, and engineering teams. You will help our customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in data engineering, analytics, AI and data science. Reporting to the Field Engineering Manager, you will collaborate with our most strategic global prospects and customers, partner with regional field teams across geographies, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions. Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on Databricks. Partner with the sales team and provide hands-on technical

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 6+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering

FEQ227R170 Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks. The impact you will have : Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications Build and present reference architectures, how-tos, and demonstrate applications for customers Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars Travel to meet with customers in your territory What we look for : 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Pyth

FEQ427R107 As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. This is a Hybrid role, based in Delhi. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and ou

FEQ227R53 As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and our users Become an expert in, pro

FEQ427R139 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 8+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineerin

FEQ427R313 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. Important Eligibility Requirement: Due to contractual requirements supporting U.S. Public Sector customers, this position requires U.S. citizenship. Candidates who are not U.S. citizens are not eligible for consideration. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: U.S. citizenship

FEQ327R1 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 5+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experienc