Delivery Solutions Architect - Oil & Gas - Databricks Skip to main content Login Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Explore the Databricks partner ecosystem Partner Spotlight Featured partner announcements Partner Program Explore
benefits, tiers and how to become a partner Cloud Providers Databricks on AWS, Azure and GCP Find a Partner Discover Databricks partners for your needs Partner Solutions Find custom industry and migration solutions Product Databricks Platform Platform Overview A unified platform for data, analytics and AI Data Engineering ETL and orchestration for batch and streaming data AI Assistant Agentic coworker for business users Data Warehousing Serverless data warehouse for SQL analytics Application Development Quickly build secure data and AI apps Database Postgres for data apps and AI agents Artificial Intelligence Build and deploy ML and GenAI applications Governance Unified governance for all data, analytics and AI assets Business Intelligence Intelligent analytics for real-world data Security Open agentic SIEM built for the AI era Customer Data Platform Agentic CDP embedded in Databricks Sharing Open data sharing for data, analytics and AI Integrations and Data Marketplace Open marketplace for data, analytics and AI IDE Integrations Build on the Lakehouse in your favorite IDE Partner Connect Discover and integrate with the Databricks ecosystem Pricing Databricks Pricing Explore product pricing, DBUs and more Cost Calculator Estimate your compute costs on any cloud Open Source Open Source Technologies Learn more about the innovations behind the platform Solutions Databricks for Industries Telecommunications Media and Entertainment Financial Services Public Sector Healthcare & Life Sciences Retail Manufacturing See All Industries Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Migration & Deployment Data Migration Forward Deployed Engineering Solution Accelerators Explore Accelerators Move faster toward outcomes that matter Resources Learning Training Discover curriculum tailored to your needs Databricks Academy Sign in to the Databricks learning platform Certification Gain recognition and differentiation Free Edition Learn professional Data and AI tools for free University Alliance Want to teach Databricks? See how. Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more AI Blog Explore our AI research and engineering work Data Brew Podcast Let’s talk data! Champions of Data + AI Podcast Insights from data leaders powering innovation Get Help Customer Support Documentation Community Dive Deep Resource Center Demo Center Architecture Center About Company
Who We Are Our Team Databricks Ventures Contact Us Careers Working at Databricks Open Jobs Press Awards and Recognition Newsroom Security and Trust Security and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Overview Culture
Benefits Diversity Engineering Research Students & new grads Back to search results Delivery Solutions Architect - Oil & Gas Remote - Texas Apply now CSQ427R106 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 for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their 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 the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. 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 prioritized 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 following 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: 5+ 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 the delivery of complex programs/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 Ability to travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable
compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual
compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total
compensation package for this position may also include eligibility for annual performance
bonus, equity, and the
benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 — $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
Benefits At Databricks, we strive to provide comprehensive
benefits and
perks that meet the needs of all of our employees. For specific details on the
benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview AI Assistant Application Development Artificial Intelligence Business Intelligence Customer Data Platform Data Engineering Data Warehousing Database Governance Neon Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview AI Assistant Application Development Artificial Intelligence Business Intelligence Customer Data Platform Data Engineering Data Warehousing Database Governance Neon Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company
Who We Are Our Team Databricks Ventures Contact Us Careers Open Jobs Working at Databricks Press Awards and Recognition Newsroom Security and Trust About Company
Databricks is the Data and AI company, offering a unified cloud-based Data Intelligence Platform that combines data engineering, analytics, machine learning, and AI on a lakehouse architecture. Founded in 2013 by the original creators of Apache Spark, it serves more than 20,000 organizations worldwide — including over 60% of the Fortune 500 — helping them build and scale data and AI applications.
No longer accepting applications
This role has closed. Browse other open positions.
