Databricks

Solutions Engineer

• 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
• Create certainty from uncertainty and drive onboarding, enablement, success, go-live and healthy consumption of the workloads
• 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
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Provide internal and external updates - KPI reporting on the status of usage and customer health

Delivery Solutions Architect – Public Sector

• Build and Lead a High-Performing Team: Hire, coach, and grow DSAs capable of guiding DNB customers to production success across a wide range of Data, AI, and ML workloads.
• Accelerate Path to Production: Inspire your team to minimize friction, remove blockers, streamline onboarding, and enable customers to get high-impact workloads into production faster.
• Maintain Technical Excellence: Ensure you and your team stays ahead of the curve with advanced knowledge of Databricks and the broader Data and AI ecosystem, continuously learning and achieving certifications.
• Collaborate for Customer Growth: Partner closely with Sales, Solutions Architects, Support, Product Engineering, and Professional Services to build integrated customer plans that accelerate adoption and deliver tangible ROI.
• Champion Operational Rigor: Establish mechanisms for tracking, forecasting, and communicating workload progress, usage growth, and customer health.
• Be a Thought Leader and Sponsor: Serve as the technical sponsor for select DNB accounts, engaging tech leads and executives to shape customer success strategy at scale.
• Contribute to the DSA Practice: Drive initiatives that enhance consistency, scalability, and innovation across the DSA organization.

Manager, Delivery Solutions Architects – Digital Native Business

Sales

• Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.
• Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.
• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.
• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.
• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.
• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.
• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.
• Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
• Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.

Sales Specialist – Manufacturing

Account Executive

• Manage complex sales-cycles and present to C-level executives.
• Close net new logos and expand 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.

Enterprise Account Executive, Federal Civilian

Enterprise Account Executive, Federal Financials

AI Engineer

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

AI Engineer – Forward Deployed Engineer

• 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
• Build a plan for success internally at Databricks and externally with your account

Strategic Enterprise Account Executive, CPG

• 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

Strategic Enterprise Account Executive

• 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 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

Enterprise Account Executive – CPG

• 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.
• Collaborate with fellow Solutions Architects, using your skills to support each other and users.
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

Senior Solutions Engineer – AI Natives Business

Director

• Lead, grow and inspire the Strategic Enterprise Account Executives to help them overachieve on their goals and objectives.
• Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes.
• Develop trust-based relationships with customers and partners to ensure long-term success.
• Drive ongoing learning of the continuous innovation being delivered to our customers via our data intelligence and GenAI solutions.
• Actively participate in the region’s growth plans, ensure forecast accuracy and build a customer-focused, durable, high-growth business.

Senior Director, Enterprise – Retail Vertical – Strategic Accounts

• Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
• Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies
• Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
• Lead conversations around semantic governance, self-service analytics, and natural language data access
• Drive proof-of-value engagements and scale enterprise-wide adoption
• Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
• Enable field teams and serve as a subject matter expert on modern analytics architectures

Strategic AI/BI Account Executive

Operations

• Lead the execution of small initiatives while contributing to larger initiatives with moderate to high level of direction from leadership.
• Respond to and resolve Tier 1 inquiries, handling system and process issues that require detailed investigation and troubleshooting.
• Assist in improving, administering, and testing updates to our ATS and recruiting tech stack under guidance from senior team members.
• Contribute to process improvement efforts by collaborating with cross-functional teams on defined tasks.
• Help with TA onboarding, offboarding, training, University Recruiting initiatives and enablement for talent systems to ensure smooth transitions.
• Support ongoing programmatic efforts through coordination, reporting, and execution of assigned tasks.
• Create and reconcile reports from multiple data sources to provide valuable insights for stakeholders.
• Conduct regular audits to ensure data quality and promote system accuracy.

TA Operations Associate – Contract

• Work on 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.
• Work with the Databricks technical team, Project Manager, Architect and Customer team 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.

Resident Solutions Architect – Digital Native Business

• Shape the future of the big data landscape by collaborating with customers, product teams, and the broader customer-facing team
• Develop architectures and solutions using the Databricks platform and APIs
• Guide customers through competitive landscape, best practices, and implementation
• Provide technical leadership to help customers understand how Databricks can solve their business problems
• Consult on Big Data architectures and validate integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with fellow Solutions Architects to support each other and users
• Become an expert in and promote Databricks inspired open-source projects (Spark, Delta Lake, and MLflow)