
Solutions Architect β Retail, Consumer Goods, Travel & Hospitality
Posted Oct 6

Posted Oct 6
This is a fully remote position, open to applicants in New York, +1 more state.
β’ Take ownership of the complete technical strategy for accounts, from initial discovery to production deployment and growth in consumption.
β’ Facilitate intricate architecture conversations and design scalable, production-quality solutions across data engineering, ML/AI, and real-time analytics.
β’ Provide guidance to customer architects, engineering leads, and Directors.
β’ Showcase Databricksβ unique offerings through custom-built solutions in competitive environments.
β’ Cultivate and establish a developing technical specialization.
β’ Coordinate with DSAs, SSAs, and Partners to deliver all-encompassing solutions.
β’ Offer structured customer and competitive insights to shape product direction.
β’ Engage in stages such as recruitment, hiring manager discussions, design and architecture reviews, live coding, build/demo/pitch, and reference checks.
β’ Over 6 years of experience in solutions architecture, data engineering, technical pre-sales, or a senior, hands-on technical position.
β’ Strong coding skills in Python and SQL, including live coding, debugging, and solution development.
β’ Extensive knowledge in distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
β’ Proficiency with the Databricks Platform or the capability to quickly achieve proficiency.
β’ Developing technical expertise in a specific area, such as real-time/streaming, ML/AI, data governance, or migrations.
β’ Capacity to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analyses.
β’ Experience in production deployments on AWS, Azure, or GCP, including aspects of infrastructure, security, and governance.
β’ Proven ability to drive platform adoption and consumption growth within accounts.
β’ Exceptional communication skills for translating complex architectures into business value for both technical and executive audiences.
β’ Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative field, or equivalent experience.
β’ Databricks certifications, familiarity with competitive platforms, a background in data/AI companies or cloud providers, and industry domain expertise are advantageous.
β’ Eligibility for an annual performance bonus.
β’ Equity opportunities.
β’ Comprehensive benefits and perks (specific details may vary by region).
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