{"id":1414630,"url":"https://alion.io/job/sur-senior-data-platform-solutions-engineer","title":"Senior Data, Platform & Solutions Engineer","company":{"id":4875,"name":"Sur","domain":"hiresur.com","url":"https://alion.io/company/sur","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AR","BR","MX","CL","CR"],"hiring_countries_total":5,"salary":{"min":100000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":100000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T20:06:59Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-30T18:10:13Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We are looking for a highly experienced, hands-on Senior Data Engineer who can combine deep data engineering expertise with data architecture, cloud platform ownership, and direct client engagement.\nThis is not a traditional back-office data engineering role where you own one pipeline or a narrow piece of a larger platform. You will work directly with clients to understand their needs, recommend the right technical approach, design the architecture, build the solution, and communicate the results.\nYou will typically own multiple client projects and operate as both the technical expert and a trusted advisor. The right person is comfortable running a client meeting, discussing architectural trade-offs with technical and business stakeholders, turning those decisions into working solutions, and owning delivery from beginning to end.\nWe are especially interested in engineers who have worked in consulting, startups, or other environments where they have had broad ownership rather than operating within one narrow function of a large data organization.\nResponsibilities\nOwn the technical delivery of data projects from initial client conversations through architecture, implementation, and ongoing delivery\nLead client discussions to understand business and technical requirements, ask the right questions, and translate ambiguous problems into clear technical solutions\nDesign modern data architectures spanning ingestion, transformation, compute, storage, analytics, and BI layers\nMake informed architecture recommendations based on technical trade-offs, cost, scalability, maintainability, and the client's specific requirements\nBuild and maintain production data pipelines, transformations, models, and platform components\nWork hands-on with modern data platforms such as Snowflake, Databricks, BigQuery, and/or Redshift\nBuild and maintain transformation workflows using SQL and modern data tooling such as dbt\nWork directly within AWS, GCP, and/or Azure environments, including platform deployment, infrastructure configuration, access and permissioning, and related cloud resources\nTake end-to-end ownership rather than relying on separate infrastructure, architecture, or project-management teams to drive delivery\nManage multiple client projects simultaneously while maintaining clear priorities, timelines, documentation, and follow-up\nProduce polished client-facing documentation, presentations, meeting notes, and project updates\nCollaborate with software and AI engineers on a proprietary platform deployed into customer cloud environments\nContribute code and improvements to platform capabilities when needed\nUse AI tools extensively to accelerate engineering, research, analysis, and development while maintaining a strong understanding of the underlying technical decisions\nRequirements\n5+ years of professional, hands-on data engineering experience, ideally with significant senior-level ownership\nAdvanced SQL skills\nStrong hands-on experience with at least one modern cloud data platform such as Snowflake, Databricks, BigQuery, or Redshift; experience across multiple platforms is highly valued\nStrong understanding of data architecture and data modeling principles, including common design patterns, anti-patterns, and architectural trade-offs\nExperience designing data environments across ingestion, compute, storage, transformation, and analytics/BI layers\nHands-on cloud experience with AWS, GCP, and/or Azure beyond simply consuming cloud-hosted services\nExperience deploying or owning data platforms and working with infrastructure configuration, access controls, permissions, compute resources, and cloud architecture\nExperience making technical architecture decisions and clearly explaining the reasoning and trade-offs behind those decisions\nExcellent spoken and written English\nStrong client-facing or stakeholder-facing communication skills, with the confidence to lead technical discussions with senior stakeholders and executives\nAbility to communicate complex technical topics concisely and focus conversations on what matters\nCuriosity about AI and a strong understanding of how AI is changing modern data infrastructure, analytics, and data consumption\nPreferred\nSignificant hands-on experience with dbt\nExperience working as a Data Engineering Consultant, Data Consultant, Data Architect, Solutions Architect, or similar client-facing technical role\nExperience working in startups, consultancies, or other lean environments requiring broad technical ownership\nExperience owning or managing a complete data or analytics platform\nExperience across two or more of Snowflake, Databricks, BigQuery, and Redshift\nStrong understanding of cloud infrastructure, platform deployment, access management, and infrastructure cost considerations\nPrevious software engineering experience before moving into data engineering\nFamiliarity with emerging AI/data infrastructure concepts, including MCP and AI-oriented data workflows\nBenefits\nSalary: $100K USD annually \nPTO: 15 days \n Holidays: Local or US holidays","description_format":"text","description_chars":5040,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"},{"name":"Brazil","iso":"BR","kind":"country"},{"name":"Colombia","iso":null,"kind":"country"},{"name":"Mexico","iso":"MX","kind":"country"},{"name":"Chile","iso":"CL","kind":"country"},{"name":"Costa Rica","iso":"CR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-09-28T20:06:59Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":57,"reasons":["conf:8","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":100000,"is_top_pay":false},"html_url":"https://alion.io/job/sur-senior-data-platform-solutions-engineer","json_url":"https://alion.io/job/sur-senior-data-platform-solutions-engineer.json","meta":{"generated_at":"2026-10-01T02:38:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1951,"day_limit":5000,"remaining_today":3049,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}