CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

FEQ227R295

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

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 teams 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:

• 4+ 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: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

FEQ227R318

Sr. Manager, Field Engineering (Specialist)

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other US-based locations.

Databricks is leading the next paradigm shift in solving problems with data and is looking for a Field Engineering Manager to lead our Databricks lakehouse expansion. Reporting to a Director of Field Engineering, the Sr. Manager, Specialist Solutions Architects will help lead a team of SSAs with the Retail, Consumer Goods & Travel/Hospitality (RCT) GTM vertical. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (70% pre-sales, 30% post-sales), you will partner with Sales (and Solution Architects)  to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The impact you will have:

• You will grow a team of Specialist Solutions Architects for a company in high-growth mode.
• You will maintain a hiring pipeline for ongoing hiring needs throughout the year.
• Crush your region's sales target - by partnering with your SA team on how to build a comprehensive technical point of view to establish the lakehouse architecture across a wide array of business units, identify valuable business-impacting use cases and validate consumption demand, and establish themselves as trusted advisors by building strong relationships with technical partners.
• Make your customers in your region extremely successful by driving priorities with sales and alignment with the other databricks technical functions (Specialist, PS and CS)
• Establish relationships across the business to make your customers and team successful.

What we look for:

• 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
• Experience leading technical pre-sales teams - hiring, onboarding, and supporting pre-sales professionals, building a territory; up-selling strategic accounts; and exceeding annual quotas.
• Lead a team through best practices for technical account strategy, architecture discussions, and solution advocacy in a customer environment.
• Experience hiring candidates, ramping them up to be successful, and promoting them into larger roles.
• Create positive morale for the team, establish work-life balance and help foster a healthy and productive working relationship within the team and between Field Engineering, Sales, and other important internal partners.
• Experience working with other teams such as Sales, Product Management, Industry Got to Market and Customer Success.
• Experience with driving executive alignment in accounts that guides strategic data infrastructure decisions and establish partnerships through adoptions and growth.

SLSQ227R693

• Highly preferred location - Remote - Virginia 
• While candidates in Virginia are highly encouraged candidates in the surrounding locations will also be considered:

As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the CPG team and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client in the CPG vertical.  You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.

The impact you will have: 

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

What we look for:

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
• Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
• The ability to simplify a technical capability into a value-based benefit
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
• Managing a small set of enterprise accounts rather than a broad territory
• Bachelor's Degree

CSQ227R175

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• US Top Secret Clearance Required TS/SCI Preferred this position
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

Overview 

Lead Data Engineers at Excella drive the architecture, development, and optimization of data solutions, ensuring they align with business goals and technical best practices. They take ownership of large-scale data initiatives, mentor team members, and provide strategic input on data platform decisions. Lead Data Engineers oversee technical delivery, ensuring data solutions are robust, scalable, and maintainable.  
 

Responsibilities 

• Lead the design, development, and optimization of scalable data solutions.  

• Define data architecture strategies and ensure best practices are followed.  

• Oversee and guide the creation and automation of data pipelines and platforms.  

• Establish and enforce data quality and governance frameworks.  

• Collaborate with Architects, Product Owner, Data Scientists, and DevOps to align data solutions with business needs.  

• Research and evaluate emerging data technologies and methodologies.  

• Ensure seamless integration of data management solutions into client environments.  

• Develop risk mitigation strategies and implement data recovery plans.  

• Lead the development of data repositories, including data warehouses, data lakes, and operational data stores.  

• Mentor and support the development of junior and senior team members.  

Qualifications  

• 6+ years of experience in data engineering and related technical domains.  

• Designed and built scalable, extensible data pipelines for production environments with strong expertise in SQL, Python, and PySpark.  
• 2+ years of hands-on experience with Databricks, including development, data processing, and pipeline optimization in a cloud-based environment

• Hands-on experience with big data and distributed systems, Parquet, Delta Lake, HDInsight  

• Extensive work with cloud-native data platforms and services, such as Azure Data Factory, Synapse, Azure Storage Accounts, Streaming Analytics, Azure Fabric  

• Deep understanding of data lake architecture, secure and performant data store design, and analytical platform patterns.  

• Proficient in orchestration tools and CI/CD workflows, infrastructure-as-code (e.g., Terraform, Azure DevOps Pipelines), and observability best practices.  

• Advanced Git and Azure DevOps Repos expertise and strong familiarity with version control, branching strategies, and collaborative development.  

• Leadership experience mentoring engineers and guiding cross-functional technical teams.  

• Excellent communicator, capable of translating complex technical ideas for both technical and non-technical audiences.  

• Agile practitioner with experience leading and delivering within Scrum/Kanban frameworks, and a continuous learning mindset.  

• Technically savvy, entrepreneurial spirit who thrives in environments that reward self-initiative and resourcefulness.  

 
Preferred Qualifications

• Advocating for adopting industry tools and practices at the right time  

• Appreciate the importance of schema design and can evolve an analytics schema on top of unstructured data.  

• Leadership and mentoring of team members on project and within Excella.  

• Excited to try out new technologies and produce proofs-of-concept that balance technical advancement and user experience.  

• Empathetic working with stakeholders, listening to them, asking the right questions, and collaboratively developing the best solutions for their needs.  

• Champion for data privacy and integrity, and always act in the best interest of clients.  

RDQ427R268

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and driven by customer obsession, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Customers trust Databricks with their most sensitive data and workloads, and Security Infrastructure Operations (SIO) is the team that sustains and improves Databricks' cloud security posture across every cloud service provider we operate in. We are looking for a Senior Engineering Manager to lead this team and drive the strategy for how cloud identity, access, and environment changes are reviewed, executed, and automated at scale. You will own the operational backbone of Databricks' cloud security, spanning IAM policy enforcement, CSP account provisioning, compliance evidence collection, and security data pipelines. Your goal is to ensure that Databricks engineers can move fast without compromising security. This is a high-visibility, cross-functional leadership role that partners with Security, Security Engineering, IT and engineering teams across the company.

The impact you will have:

• Build, lead, and grow a high-performing team of engineers responsible for cloud IAM operations, CSP environment management, security data pipelines, and compliance operations across AWS, Azure, and GCP.
• Define and execute the strategy and roadmap for automating cloud access assignment, approval workflows, and IAM policy enforcement to reduce manual toil while strengthening security controls.
• Own the end-to-end lifecycle of CSP account, subscription, and project provisioning, including secure onboarding of acquired companies' cloud environments into Databricks' organizations with minimal disruption.
• Drive compliance programs including Cloud User Access Reviews, audit evidence collection, and IAM policy alignment to meet SOC2, FedRAMP, and other regulatory requirements.
• Ensure the reliability and timeliness of security data pipelines that ingest CSP audit logging, enabling downstream detection and response capabilities.
• Partner closely with Security, Security Engineering, and IT to interpret and operationalize security policies, ensuring consistent enforcement with high transparency and minimal friction for engineering teams.
• Lead complex, multi-quarter initiatives spanning multiple teams and external partners, demonstrating leverage by executing through technical leads and developing future leaders on the team.
• Lead GovCloud escort operations, including staffing a 24x7 on-call rotation for SEV0 incidents, and continuously improving operational resilience.
  
  

What we look for:

• 8+ years of experience in security engineering, cloud infrastructure, or production/site reliability engineering, with deep hands-on expertise in at least one major cloud provider (AWS, Azure, or GCP).
• 5+ years of engineering management experience, including building teams, developing senior engineers and managers, and navigating complex people situations such as promotions and performance management.
• Strong technical understanding of cloud IAM (policies, principals, roles, federation), CSP organizational structures, and identity governance frameworks.
• Demonstrated success leading operational teams that balance high-throughput request execution with automation and process improvement.
• Experience with compliance and audit workflows (SOC2, FedRAMP, ISO, or similar), including evidence collection and access review programs.
• Track record of driving cross-functional initiatives that require influencing without direct authority across security, infrastructure, and engineering organizations.
• Strong communication and stakeholder management skills, with the ability to translate security policy into practical operational processes that engineering teams can follow.
• BS (or higher) in Computer Science, Information Security, or a related technical field.

P-1605

About Databricks

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Role

At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer.

In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team.

The Impact You’ll Have

Security-Focused Cloud Operations

• Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale.
• Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Databricks security standards and audit requirements.

Production Engineering & Automation

• Build and maintain reliable, observable automation and tooling to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly.
• Treat operational and security issues as software problems: eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling.

Security Data Pipelines & Compliance

• Own and improve security and audit logging data pipelines from cloud providers into our internal systems, ensuring timely, accurate data for detection, investigations, and audits.
• Partner with Security, Compliance, and Audit teams to provide evidence, clarifications, and policy updates that keep our environments aligned with evolving standards.

Regulated & Specialized Environments

• Operate and improve specialized, highly regulated environments (e.g., FedRAMP / GovCloud) including release management, patching cadences, and supporting secure access workflows (e.g., SAW).
• Ensure high availability and resiliency for critical security and access infrastructure across these environments.

On-Call & Incident Response

• Participate in a 24x7 on-call rotation for high-severity incidents impacting cloud accounts, IAM, or security data pipelines.
• Act as a key partner to product engineering, security engineering, and field teams during incidents to restore service and harden systems for the future.

What We Look For

• Required: Candidates must be eligible for a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
  • Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus.
• Education- BS, MS, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Experience: 12+ years of experience, including leading the strategy for cloud IAM, account architecture, or security-critical infrastructure across multiple environments or business units.
• Cloud & Infrastructure Expertise
  • Deep hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) in areas such as IAM, networking, accounts/subscriptions/projects, and audit logging.
  • Strong background in Infrastructure-as-Code and automation (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes.
• Security & Compliance Mindset
  • Proven experience working in or with security-sensitive or regulated environments (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector) and translating requirements into concrete technical controls.
  • Familiarity with access review processes, policy baselines, and audit evidence for cloud environments.
• Operational Excellence
  • Demonstrated success running high-availability, security-critical services, including on-call responsibilities and incident management.
  • Strong debugging and problem-solving skills across distributed systems, with the ability to navigate ambiguous issues spanning multiple teams and platforms.

Bonus

• Experience with Okta, Opal, or similar identity/access tooling.
• Background operating secure admin workstations (SAW) or comparable hardened access patterns.
• Experience migrating cloud accounts or subscriptions during M&A or large-scale reorganizations.

P-1603

About Databricks

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Role

At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer.

In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team.

The Impact You’ll Have

Security-Focused Cloud Operations

• Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale.
• Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Databricks security standards and audit requirements.

Production Engineering & Automation

• Build and maintain reliable, observable automation and tooling to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly.
• Treat operational and security issues as software problems: eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling.

Security Data Pipelines & Compliance

• Own and improve security and audit logging data pipelines from cloud providers into our internal systems, ensuring timely, accurate data for detection, investigations, and audits.
• Partner with Security, Compliance, and Audit teams to provide evidence, clarifications, and policy updates that keep our environments aligned with evolving standards.

Regulated & Specialized Environments

• Operate and improve specialized, highly regulated environments (e.g., FedRAMP / GovCloud) including release management, patching cadences, and supporting secure access workflows (e.g., SAW).
• Ensure high availability and resiliency for critical security and access infrastructure across these environments.

On-Call & Incident Response

• Participate in a 24x7 on-call rotation for high-severity incidents impacting cloud accounts, IAM, or security data pipelines.
• Act as a key partner to product engineering, security engineering, and field teams during incidents to restore service and harden systems for the future.

What We Look For

• Required: Candidates must be eligible for a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
  • Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus.
• Education- BS, MS, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Experience
  • Staff: 8+ years of experience operating and automating large-scale cloud environments, with a track record of driving cross-team infrastructure improvement.
• Cloud & Infrastructure Expertise
  • Deep hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) in areas such as IAM, networking, accounts/subscriptions/projects, and audit logging.
  • Strong background in Infrastructure-as-Code and automation (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes.
• Security & Compliance Mindset
  • Proven experience working in or with security-sensitive or regulated environments (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector) and translating requirements into concrete technical controls.
  • Familiarity with access review processes, policy baselines, and audit evidence for cloud environments.
• Operational Excellence
  • Demonstrated success running high-availability, security-critical services, including on-call responsibilities and incident management.
  • Strong debugging and problem-solving skills across distributed systems, with the ability to navigate ambiguous issues spanning multiple teams and platforms.

Bonus

• Experience with Okta, Opal, or similar identity/access tooling.
• Background operating secure admin workstations (SAW) or comparable hardened access patterns.
• Experience migrating cloud accounts or subscriptions during M&A or large-scale reorganizations.

P-1602

About Databricks

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Role

At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer.

In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team.

The Impact You’ll Have

Security-Focused Cloud Operations

• Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale.
• Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Databricks security standards and audit requirements.

Production Engineering & Automation

• Build and maintain reliable, observable automation and tooling to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly.
• Treat operational and security issues as software problems: eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling.

Security Data Pipelines & Compliance

• Own and improve security and audit logging data pipelines from cloud providers into our internal systems, ensuring timely, accurate data for detection, investigations, and audits.
• Partner with Security, Compliance, and Audit teams to provide evidence, clarifications, and policy updates that keep our environments aligned with evolving standards.

Regulated & Specialized Environments

• Operate and improve specialized, highly regulated environments (e.g., FedRAMP / GovCloud) including release management, patching cadences, and supporting secure access workflows (e.g., SAW).
• Ensure high availability and resiliency for critical security and access infrastructure across these environments.

On-Call & Incident Response

• Participate in a 24x7 on-call rotation for high-severity incidents impacting cloud accounts, IAM, or security data pipelines.
• Act as a key partner to product engineering, security engineering, and field teams during incidents to restore service and harden systems for the future.

What We Look For

• Required: Candidates must be eligible for a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
• Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus.

• Education- BS, MS, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Experience: 5+ years of experience in production engineering, SRE, security engineering, or cloud infrastructure roles.
• Cloud & Infrastructure Expertise
  • Deep hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) in areas such as IAM, networking, accounts/subscriptions/projects, and audit logging.
  • Strong background in Infrastructure-as-Code and automation (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes.
• Security & Compliance Mindset
  • Proven experience working in or with security-sensitive or regulated environments (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector) and translating requirements into concrete technical controls.
  • Familiarity with access review processes, policy baselines, and audit evidence for cloud environment.
• Operational Excellence
  • Demonstrated success running high-availability, security-critical services, including on-call responsibilities and incident management.
  • Strong debugging and problem-solving skills across distributed systems, with the ability to navigate ambiguous issues spanning multiple teams and platforms.  

Bonus

• Experience with Okta, Opal, or similar identity/access tooling.
• Background operating secure admin workstations (SAW) or comparable hardened access patterns.
• Experience migrating cloud accounts or subscriptions during M&A or large-scale reorganizations.

P-1604

About Databricks

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Role

At Databricks, we don’t just build software for the cloud; we are "cloud maximalists." We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments.

We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where "zero-waste" compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code.

The Impact You’ll Have

• Architect Scalable Systems: Design and implement highly available backend services using Scala, Java, Go, C++/C or similar.
• Distributed Systems Engineering: Design and implement highly scalable backend services in Java, Scala, or Go that power our Data Intelligence Platform across sovereign and air-gapped clouds.
• Infrastructure at Scale: Solve complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments.
• Performance Optimization: Drive "zero-waste" compute initiatives, optimizing our engine and services to perform in resource-constrained or specialized regions (e.g., GovCloud).
• Security & Reliability: Partner with Production Engineering to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability.

What We Look For

• Required: Candidates must be eligible for a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
  • Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus.
• Technical Breadth: BS/MS/PhD in Computer Science or a related field.
• Experience: Staff : 9+ years of professional software development experience.
• Systems Expertise: Deep understanding of Distributed Systems, concurrency, and performance optimization.
• Language Proficiency: Strong production-level experience in at least one of: Java, Scala, Go, C++ or similar.
• Cloud Experience: Experience building and deploying large-scale SaaS or cloud-native applications.

P-1366

About Databricks

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Role
At Databricks, we don’t just build software for the cloud; we are "cloud maximalists." We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments.

We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where "zero-waste" compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code.

The Impact You’ll Have

• Architect Scalable Systems: Design and implement highly available backend services using Scala, Java, Go, C++/C or similar.
• Distributed Systems Engineering: Design and implement highly scalable backend services in Java, Scala, or Go that power our Data Intelligence Platform across sovereign and air-gapped clouds.
• Infrastructure at Scale: Solve complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments.
• Performance Optimization: Drive "zero-waste" compute initiatives, optimizing our engine and services to perform in resource-constrained or specialized regions (e.g., GovCloud).
• Security & Reliability: Partner with Production Engineering to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability.

What We Look For

• Required: Candidates must be eligible for a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
  • Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus.
• Technical Breadth: BS/MS/PhD in Computer Science or a related field.
• Experience: 6+ years of professional software development experience.
• Systems Expertise: Deep understanding of Distributed Systems, concurrency, and performance optimization.
• Language Proficiency: Strong production-level experience in at least one of: Java, Scala, Go, or C++.
• Cloud Experience: Experience building and deploying large-scale SaaS or cloud-native applications.

SLSQ227R758

As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 1000 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join our manufacturing vertical and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will manage 3 large enterprise Consumer Packaged Goods (CPG) clients within our Retail Vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.

The impact you will have: 

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

What we look for:

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
• Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
• The ability to simplify a technical capability into a value-based benefit
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
• Managing a small set of enterprise accounts rather than a broad territory
• Bachelor's Degree

SLSQ227R584

As an Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Financial Services accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to grow within existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 7+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

FEQ227R208

Candidates in the listed region are encouraged for this role, we are open to remote candidates with a preference in the North East or Midwest at one of our office hubs.  

Mission

Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Financial Services segment of Databricks’ Regulated Industries Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode
• Make your customers extremely successful with Databricks and provide outsized value to their businesses
• You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates
• You will establish relationships across the business to make your customers and team successful
• You will keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack
• You will ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players
• 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success
• Strong understanding of consumption-driven business models and the recipes for long term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
• Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks
• Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale

FEQ227R228

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

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:

• 3+ 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: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

FEQ427R261

Mission

We are seeking a Sr. Manager, Solutions Architects (SAs) to lead our Intelligence Community (IC), Navy, Air Force and Space Force team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth.

The Impact You Will Have

• Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers
• You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode.
• Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses.
• You will maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
• 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI).
• Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective
• Trusted advisor to technical executives that guide strategic data infrastructure decisions.
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
• Strategic mindset focused on driving customer outcomes in an accelerated fashion
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
• Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success.
• Technical and business skills to earn the trust of Engineering talent and leadership at Databricks.
• Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.

FEQ127R326

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 Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

FEQ127R165

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:

• 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
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

FEQ127R5

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 Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

Source Performance and Quality Specialist (Mid)  

Location: Springfield, VA  

TS/SCI REQUIRED

Position Responsibilities:  

• Define, execute, and analyze the results of complex studies of collection system performance.  
• Respond to requests for studies from customers across the NSG, gathering requirements and educating customers on outcomes and results.  
• Aid in the design, production, and implementation of a federated approach to provide end-to-end Source performance metrics that ensures continuity, consistency, agreement, transparency, and awareness both internally (team-wide) and externally (with customers).  
• Perform detailed end-to-end source management performance analysis to support multi-source requirements. (i.e. satellite collection performance, collection requirements performance, simulations of collection impacts based on weather and other sensor specific functionality).  
• Create and produce analytic reports in accordance with the format provided by the Government.  
• Apply quantitative and qualitative methods to support the improvement of new metrics, analytical techniques and tools to assist in the measurement of imagery utilization and satisfaction within the framework of multi-source strategies.  
• Perform modeling and data analysis on near-term changes to GEOINT requirements, constellations, and systems and clearly communicate impacts to current and future systems including anomalies to inform senior-level decision makers. Identify, collect, process, and analyze large volumes of data to produce and enhance products, processes, and systems.  
• Investigate and introduce novel analytical techniques, data mining and retrieval, and statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and visualize results.  
• Provide support for emerging requirements as assigned by the Government. 

Required Skills. Proficiency in common geospatial software applications and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, Large Language Modeling, Sagemaker, R, Git, Tableau, Collections, Databricks, Hue, Knowi, Kabana.