{"id":3438580,"url":"https://alion.io/job/databricks-sr-solutions-engineer-greater-china","title":"Sr. Solutions Engineer (Greater China)","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":859,"ghost_share":0.264,"stale_share":0,"repost_share":0.003,"time_to_fill_p50_days":76,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":150000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-10-29T02:25:50Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-30T01:02:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":0},"description":"FEQ128R112\nThe Role\nAs a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present-combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.\nThe Impact You Will Have\nIndependently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning\nBuild and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins\nOwn frontline technical relationships with customer engineers, data teams, and technical leads\nDevelop account-level technical strategies in partnership with your Account Executive to grow platform consumption\nNavigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations\nContribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community\nWhat We Look For\n4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role\nProficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code - live coding is a required interview stage\nHands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)\nWorking knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)\nExperience leading technical customer conversations - discovery, whiteboarding, architecture reviews\nFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics\nStrong presentation and demo skills - you will build and present a live solution during the interview\nBachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)\nBusiness proficiency in Mandarin and experience in the Greater China Region are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the Greater China Region customers in Mandarin for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions.\n\nNice to Have:\nDatabricks certification or experience with the Databricks Platform\nExperience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow\nBackground at a data/AI company, cloud provider, or technical consulting firm\nInterview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check\n\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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