{"id":3340865,"url":"https://alion.io/job/n-ix-data-architect-spanish-speaking-2","title":"Data Architect (Spanish-speaking)","company":{"id":13248,"name":"N-iX","domain":"n-ix.com","url":"https://alion.io/company/n-ix","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":13,"ghost_share":0,"stale_share":0.769,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":100000,"max_usd":240000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":781},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"FinOps","optional":false},{"name":"GDPR","optional":false},{"name":"Hadoop","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false},{"name":"Terraform","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Feature Store","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-27T08:18:53Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T16:06:10Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"N-iX is a global software engineering and technology services company, building solutions for clients since 2002. Our teams work across Europe, the Americas, and Asia for Fortune 500 companies and fast-growing businesses in finance, retail, manufacturing, telecom, healthcare, and more.\nOur Data & Analytics practice designs and delivers modern data platforms on Snowflake, Databricks, Azure and AWS, from first assessment to production at scale.\nAbout the role\nWe are looking for a Spanish-speaking Data Architect to lead the design of cloud data platforms for our clients. You will own the target architecture end-to-end, work directly with client stakeholders in Spanish, and guide engineering teams through delivery.\nThe role mixes hands-on technical leadership with consulting: you will shape solutions in pre-sales, run discovery workshops, and stay accountable for architecture quality once the project is live.\nResponsibilities \nDesign end-to-end data architectures on Snowflake and/or Databricks, deployed on Azure and/or AWS: ingestion, storage, processing, serving and consumption layers.\nDefine lakehouse and data warehouse patterns (medallion architecture, data vault, dimensional models) and choose the right one for each use case.\nLead migrations from legacy platforms (on-prem DWH, Hadoop, Teradata, Oracle, SQL Server) to the cloud, including assessment, roadmap and cutover plan.\nSet standards for data modelling, pipeline design, CI/CD, infrastructure as code and environment strategy.\nDesign data governance, security and compliance: access control, data lineage, cataloguing (Unity Catalog, Snowflake Horizon, Purview), GDPR and local LATAM privacy laws.\nOptimise platform cost and performance (warehouse sizing, cluster policies, FinOps practices).\nRun discovery workshops and architecture reviews with client business and technical stakeholders, in Spanish and English.\nSupport pre-sales: solution design, effort estimates, technical sections of proposals and client presentations.\nMentor data engineers and review their designs and code; act as the technical point of escalation on the project.\nPrepare data foundations for BI, advanced analytics, ML and GenAI use cases.\nRequirements \n8+ years in data engineering or data platforms, including 3+ years as a Data or Solution Architect.\nHands-on production experience with Snowflake and/or Databricks (at least one in depth).\nStrong knowledge of Azure and/or AWS data services, for example:\nAzure: ADLS Gen2, Data Factory, Synapse/Fabric, Event Hubs, Purview, Key Vault\nAWS: S3, Glue, Redshift, Kinesis, Lambda, Lake Formation, IAM\nExpert SQL and solid Python or Scala; experience with Spark.\nProven experience with data modelling (dimensional, data vault) and lakehouse design.\nExperience with orchestration and transformation tools such as Airflow, dbt, Azure Data Factory or Databricks Workflows.\nWorking knowledge of infrastructure as code (Terraform, Bicep or CloudFormation) and CI/CD for data.\nTrack record of leading at least one cloud data platform build or migration from design to production.\nClient-facing consulting experience: running workshops, presenting architecture decisions, managing expectations.\nFluent or native Spanish and at least B2 English, written and spoken.\nBased in an EU or LATAM country with the right to work there.\nNice to have\nCertifications: SnowPro Advanced Architect, Databricks Certified Data Engineer Professional, Azure Solutions Architect Expert, AWS Solutions Architect Professional or AWS Data Analytics/Data Engineer.\nStreaming architectures (Kafka, Spark Structured Streaming, Snowpipe Streaming, Delta Live Tables).\nData mesh, data products and data contracts in practice.\nMLOps and GenAI data foundations (feature stores, vector search, RAG pipelines).\nDomain experience in banking, insurance, retail, telecom or energy.\nPortuguese for Brazil-based clients.\nWe offer*:\nFlexible working format - remote, office-based or flexible\nA competitive salary and good compensation package\nPersonalized career growth\nProfessional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)\nActive tech communities with regular knowledge sharing\nEducation reimbursement\nMemorable anniversary presents\nCorporate events and team buildings\nOther location-specific benefits\n*not applicable for 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