{"id":2611997,"url":"https://alion.io/job/databricks-solutions-architect-29","title":"Solutions Architect","company":{"id":15,"name":"Databricks","domain":"databricks.com","url":"https://alion.io/company/databricks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":856,"ghost_share":0.268,"stale_share":0,"repost_share":0.001,"time_to_fill_p50_days":76,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":138000,"max_usd":328000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1519},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"SSAS","optional":false},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-15T08:14:45Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T05:22:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":0},"description":"FEQ128R7\nAs 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.\nThe Impact You Will Have\nOwn the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth\nLead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics\nServe as a trusted technical advisor to customer architects, engineering leads, and Directors\nDrive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions\nDevelop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain\nOrchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs\nInfluence product direction by providing structured feedback on customer requirements and competitive gaps\nWhat We Look For\n6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role\nStrong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills\nDeep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms\nProficient 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)\nProven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis\nExperience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations\nTrack record of driving platform adoption and consumption growth within accounts\nExcellent communication skills - able to translate complex architectures into business value for both technical and executive audiences\nBachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)\nNice to Have:\nDatabricks certifications (Data Engineer, ML, Platform)\nExperience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against\nBackground in a data/AI company or cloud provider\nIndustry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)\nAbout Databricks\nDatabricks 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.\nBenefits\n 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.\nOur Commitment to Diversity and Inclusion\nAt 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. 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