{"id":1092661,"url":"https://alion.io/job/dlocal-data-ai-architect","title":"Data-AI Architect","company":{"id":6586,"name":"dLocal","domain":"dlocal.com","url":"https://alion.io/company/dlocal","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":91,"open_postings":16,"ghost_share":0.063,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":150,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Montevideo, Uruguay","Buenos Aires, Argentina","Madrid, Spain","Barcelona, Spain","Brazil"],"countries":["UY","AR","ES","BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":125000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1279},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Feature Store","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-21T09:00:42Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-11-12T19:31:16Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":51},"description":"What’s the opportunity?\nWe are looking for a Data Architect to provide the technical direction for dLocal’s data and analytics architecture. This role will shape a scalable, governed, and highly consumable data ecosystem across Data & AI and engineering-connecting domain-owned data products, real-time platforms, analytical workloads, machine-learning use cases, and business-facing data consumption.\nYou will act as a senior technical reference for architecture decisions, translating business and product needs into pragmatic designs that balance scalability, reliability, latency, security, interoperability, developer experience, and total cost of ownership.\nWhat will I be doing?\nDefine and evolve enterprise data architectures, evaluate trade-offs, and recommend fit-for-purpose technology patterns across batch, streaming, lakehouse, warehouse, and operational use cases.\n\nReview and advise other architects on the data aspects of their RFCs, helping ensure consistency with enterprise data principles, governance standards, and architectural direction.\n\nLead the adoption of data-mesh principles, including domain-oriented ownership, data as a product, federated computational governance, self-serve platform capabilities, discoverability, quality, and measurable data-product SLAs.\n\nEstablish reference architectures and engineering standards for data products, pipelines, ingestion, storage, processing, orchestration, observability, lineage, security, and access management.\n\nProvide oversight on operational SLAs, including latency, cost, quality, freshness, reliability, and production performance.\n\nDesign and govern streaming architectures using technologies such as Kafka, Kinesis, Flink, Spark Structured Streaming, and Databricks, supporting use cases from scheduled batch through sub-second real-time processing.\n\nDefine reliable event-processing patterns, including schema and data contracts, schema registries, event-time processing, late-event handling, idempotency, deduplication, replay and reprocessing, dead-letter flows, and freshness SLAs.\n\nShape semantic layers and enterprise ontologies that create consistent business meaning across domains, including canonical entities, metrics, dimensions, relationships, business definitions, metadata, lineage, and versioning.\n\nEstablish patterns that allow semantic models to serve analytics, operational applications, machine learning, and AI use cases without creating duplicated or contradictory definitions.\n\nGuide the evolution of cloud data platforms and lakehouse capabilities, including Databricks, Unity Catalog, Delta/Iceberg tables, object storage, data warehouses, and BI consumption layers across AWS and GCP environments.\n\nProvide architectural direction for MLOps and feature-platform capabilities, including batch and online features, model-serving integrations, low-latency data paths, model/data lineage, monitoring, and governance.\n\nLead or contribute to architecture RFCs, technical decisions, design reviews, migration plans, and implementation roadmaps; make complex trade-offs clear to both technical and non-technical stakeholders.\n\nPartner with domain teams to clarify ownership, data-product responsibilities, operational handover, quality accountability, access approval, and cross-domain consumption models.\n\nDefine practical controls for data quality, observability, privacy, security, resilience, cost management, and production readiness.\n\nTake ownership of critical architectural issues, facilitate resolution across teams, and ensure decisions are followed through to implementation and operation.\n\nAct as a trusted advisor and technical mentor to data engineers, platform teams, data scientists, MLOps engineers, BI teams, and engineering leaders.\n\nCommunicate a cohesive architectural vision while remaining pragmatic, adaptable, and close enough to implementation to validate that designs work in production.\n\nWhat skills do I need?\n8-10+ years of experience designing and operating scalable data architectures, preferably in complex enterprise or high-growth environments.\n\nStrong experience designing and implementing data-mesh architectures and operating models, including domain ownership, data products, federated governance, self-serve platforms, contracts, quality, and discoverability.\n\nDeep experience with streaming and event-driven architectures, including Kafka or Kinesis and one or more processing engines such as Flink or Spark Structured Streaming.\n\nDemonstrated ability to design for real-time and near-real-time workloads, including latency measurement, event-time semantics, late data, state, deduplication, idempotency, replay, and failure recovery.\n\nStrong knowledge of semantic layers, business ontologies, canonical data models, knowledge graphs or metadata models, metric definitions, and semantic governance.\n\nExpertise in data modeling, data lake and lakehouse patterns, warehouse design, data pipelines, data products, metadata, lineage, and data management technologies.\n\nExperience with cloud data platforms and services, particularly AWS and/or GCP; experience with Databricks, Unity Catalog, Delta Lake, Iceberg, or comparable technologies is valuable.\n\nProficiency with relevant data and platform technologies such as Spark, Airflow, dbt, Kafka, Python, SQL, CI/CD, infrastructure-as-code, and observability tooling.\n\nExperience architecting or supporting MLOps, feature stores, online/offline data serving, or other low-latency machine-learning data systems.\n\nAbility to establish practical frameworks for data access, stewardship, governance, privacy, security, quality, and operational accountability.\n\nStrong understanding of reliability, scalability, performance, resilience, cost, and vendor lock-in trade-offs.\n\nExcellent stakeholder-management, communication, facilitation, and influencing skills, including the ability to balance delivery expectations and technical excellence.\n\nComfortable managing risk, ambiguity, and conflict; able to make decisions and explain the reasoning behind them.\n\nSelf-sufficient and proactive, with the judgment to know when to seek input and when to move forward.","description_format":"text","description_chars":6143,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Uruguay","iso":"UY","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways","Currency Exchange & FX Payments"],"lifecycle":[{"event":"open","at":"2026-09-21T15:28:02Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":52,"expected_fill_days":150,"reasons":["conf:3","win:early"],"computed_at":"2026-11-12T10:38:37Z"},"pay":null,"html_url":"https://alion.io/job/dlocal-data-ai-architect","json_url":"https://alion.io/job/dlocal-data-ai-architect.json","meta":{"generated_at":"2026-11-12T23:40:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":50019,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6586},"rest":"https://alion.io/mcp/rest/get_company?id=6586"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdlocal-data-ai-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdlocal-data-ai-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdlocal-data-ai-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dlocal-data-ai-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdlocal-data-ai-architect"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1092661}},{"tool":"search_jobs","arguments":{"company":"dlocal.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1092661},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}