Solutions Architect

pFEQ128R7 /p pAs 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. /p h3The Impact You Will Have /h3 ul liOwn the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth /li liLead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics /li liServe as a trusted technical advisor to customer architects, engineering leads, and Directors /li liDrive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions /li liDevelop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain /li liOrchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs /li liInfluence product direction by providing structured feedback on customer requirements and competitive gaps /li /ul h3What We Look For /h3 ul li6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role /li liStrong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills /li liDeep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms /li liProficient 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) /li liProven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis /li liExperience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations /li liTrack record of driving platform adoption and consumption growth within accounts /li liExcellent communication skills — able to translate complex architectures into business value for both technical and executive audiences /li liBachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) /li /ul h3Nice To Have /h3 ul liDatabricks certifications (Data Engineer, ML, Platform) /li liExperience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against /li liBackground in a data/AI company or cloud provider /li liIndustry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) /li /ul h3About Databricks /h3 pDatabricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, ATT, 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. /p h3Benefits /h3 pAt 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. /p h3Our Commitment to Diversity and Inclusion /h3 pAt 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. /p h3Compliance /h3 pbIf 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. /b /p #J-18808-Ljbffr