{"id":1940894,"url":"https://alion.io/job/climb-data-architect","title":"Data Architect","company":{"id":3868165,"name":"Climb","domain":"climb.ai","url":"https://alion.io/company/climb-5","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":158000,"max_usd":262000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":78},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Spark","optional":false},{"name":"FinOps","optional":true}],"status":"live","first_seen_at":"2026-07-02T21:59:22Z","employer_posted_date":"2026-07-02","last_verified_at":"2026-10-10T23:14:07Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":99},"description":"About Climb\nClimb is a Data and AI consultancy that partners with enterprises to design, build, and operationalize modern data platforms and production AI systems. As a Databricks partner, we go deep on lakehouse architecture, machine learning, and applied AI, with a bias toward production over proof of concept. Our team brings deep technical expertise and a builder's mindset to every engagement, and we measure our work not just by what ships, but by the business impact it drives.\nRole Summary\nThe Data Architect owns the technical architecture of the data platform on a client engagement. You translate business objectives into production-ready lakehouse architectures, defining the platform, governance, integration patterns, and implementation approach that delivery teams use to build scalable, secure, and AI-ready data systems.\nThis is a hands-on architecture role. You work closely with engineers throughout delivery, reviewing critical design decisions, validating architectural assumptions, and solving the most complex technical challenges. Your responsibility is to ensure the platform remains coherent as multiple data engineering workstreams come together into a reliable production system.\nYou partner with client technology leaders and Climb delivery teams to modernize enterprise data platforms, enabling trusted analytics, machine learning, and AI applications while balancing scalability, security, performance, and cost.\nKey Responsibilities\nOwn the end-to-end architecture of enterprise lakehouse platforms on Databricks, including workspace topology, governance, security, and data organization.\n\nDefine reference architectures, standards, and best practices that delivery teams build against.\n\nMake and defend architectural decisions across data modeling, ingestion, orchestration, performance, scalability, security, governance, and cost.\n\nLead architecture for platform modernization and migration, including legacy warehouses, Hadoop ecosystems, and cloud-native data platforms.\n\nTranslate business objectives into technical roadmaps that balance delivery speed, operational excellence, and long-term platform evolution.\n\nServe as a trusted advisor to senior client architects and technology leaders.\n\nPartner with the founders and delivery leads on pre-sales architecture, technical discovery, and solution design; help articulate value, ROI, and technical differentiation.\n\nEstablish architecture review standards and raise the technical bar across engagements.\n\nMentor senior and mid-level engineers; contribute reference implementations and accelerators back to the practice.\n\nRequired Qualifications\n8+ years in data engineering, data architecture, or data platform roles, with significant time in customer-facing or advisory contexts.\n\nProven experience designing and delivering enterprise-scale lakehouse or data platform architectures.\n\nDeep Databricks platform architecture expertise: Unity Catalog governance, multi-workspace design, security and identity, and Delta Lake at scale.\n\nStrong command of distributed processing with Apache Spark and modern data modeling.\n\nExperience across at least one major cloud (AWS, Azure, or GCP), with working knowledge of a second.\n\nDemonstrated ability to communicate architecture decisions to both engineering teams and executive stakeholders.\n\nExperience leading technical discovery, architecture workshops, or solution design during customer engagements.\n\nPreferred Qualifications\nExperience in regulated or data-intensive industries (financial services, healthcare, manufacturing).\n\nReal-time and streaming architecture experience (Structured Streaming, Delta Live Tables, event-driven patterns).\n\nCost governance / FinOps experience for cloud data platforms.\n\nFamiliarity with the broader modern data stack and the Databricks partner ecosystem.\n\nNote on certification: Existing Databricks certifications are a plus. Where not already held, Databricks certification (e.g., Data Engineer Associate/Professional) is expected to be obtained post-hire.\nWho Thrives Here\nThis role is designed for engineers who are ready to own complete workstreams today and are growing toward whole-system architecture and engagement leadership.\nYou naturally take ownership of complete workstreams rather than waiting for individual tasks.\n\nYou treat data quality, reliability, and performance as product features, not afterthoughts.\n\nYou enjoy solving ambiguous problems with practical engineering.\n\nYou leave every platform easier to operate than when you found it.\n\nYou'd rather ship something maintainable than demo something clever.\n\nWhy Climb\nGround floor, real backing. You are joining early, with founders who have built and exited firms like this before. You help write the playbook rather than inherit one.\n\nOutcomes, not hours. We sell and deliver against business results. Advancement is tied to delivery performance and account impact, not utilization targets.\n\nSenior team, no body-shop drag. Small pods of A-players, heavy internal AI leverage, and no bloated middle layers between you and the work.\n\nIP that compounds. Every engagement feeds reusable accelerators, patterns, and points of view back into the practice.\n\nWhat We Offer\nCompetitive base salary with performance-based bonuses\n\nMacBook Pro and swag kit so you can do your best work\n\nComprehensive health, dental, and vision insurance\n\n401(k) with company match\n\nGenerous holidays, flexible PTO, and remote-first work environment\n\nProfessional development budget including Databricks and cloud certifications\n\nSpot bonuses for relevant certifications\n\nConference attendance and thought leadership opportunities\n\nCollaborative, low-ego culture with direct access to leadership\n\nOpportunity to shape a growing practice from the ground floor\n\nClimb is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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