Solutions Architect

Databricks
United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
6 years minimum
Compensation
$100,000.0 - $150,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Data Centers Information Engineering Data Governance Software Debugging Distributed Data Store Python (Programming Language) Cloud Services SAP Sales and Distribution Software Deployment
+12 more
SQL Databases SQL Server Analysis Services Data Streaming Systems Architecture VMware VSphere Network Routers Snowflake AI Platforms Information Technology Azure Synapse Analytics Stream Analytics Databricks

Job description

Lead end-to-end technical strategy and architecture for accounts, drive Databricks platform adoption, design scalable data and ML/streaming solutions, advise senior technical stakeholders, coordinate cross-functional teams, influence product direction, and support production deployments on public cloud. The summary above was generated by AI

FEQ327R394

As a Solutions Architect, you will lead the technical strategy for your customers - owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.

The Impact You Will Have

  • Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
  • Lead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
  • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
  • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
  • Develop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain
  • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
  • Influence product direction by providing structured feedback on customer requirements and competitive gaps, Join a boutique investment banking team to build and own complex financial models, prepare client-ready presentations, drive M&A and capital-raising processes, manage diligence and coordination with advisors, and interact directly with senior clients. Requires strong analytical, quantitative, and client communication skills and elite execution on lean deal teams. Top Skills: Claude PluginExcelGaapIndex/MatchMacrosPivot TablesPower QueryPowerPointVlookupWordXlookup Fortune Brands Innovations

Requirements

  • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
  • Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills
  • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
  • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
  • Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis
  • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
  • Track record of driving platform adoption and consumption growth within accounts
  • Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences
  • Ability to travel to customers 30% of the time
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

  • Databricks certifications (Data Engineer, ML, Platform)
  • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you’ll position against
  • Background in a data/AI company or cloud provider
  • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

Benefits & conditions

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., 57 Minutes Ago In-Office or Remote 100K-150K Annually Senior level 100K-150K Annually Senior level Edtech Field-based Account Executive responsible for hunting and closing institutional B2B nursing education sales within New England. Generate pipeline via cold outreach, demos, events, and webinars (60-70%); manage onboarding, retention, and upsell activities (30-40%). Meet quotas, maintain CRM data, collaborate cross-functionally, and travel extensively to secure bulk institutional contracts. Hilliard Advisors Inc, 16 Hours Ago In-Office or Remote 105K-165K Annually Senior level 105K-165K Annually Senior level Manufacturing Lead design, implement, and manage hybrid on-prem and Azure infrastructure. Oversee storage/backup, virtualization, networking, automation (IaC/scripting), monitoring, security/compliance, cost optimization, and lead/mentor infrastructure engineers while coordinating cross-functional teams and supporting data center operations. Top Skills: AnsibleAristaAryaka Sd-WanAWSAzureAzure Virtual DesktopAzure VmsBashCisco Router/SwitchCommvaultEmcFortinetGCPHyper-VJuniper Mist WirelessNetappPowershellPythonServicenowTerraformVmware Vsphere

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

About the company

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.

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