{"id":16739,"url":"https://alion.io/job/palo-it-ai-native-data-architect","title":"AI Native Data Architect","company":{"id":5005,"name":"Palo IT","domain":"palo-it.com","url":"https://alion.io/company/palo-it","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":25,"ghost_share":0.04,"stale_share":0.2,"repost_share":0.04,"time_to_fill_p50_days":64,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","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":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":116000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":781},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure DevOps","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2024-08-02T22:31:03Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-04T11:44:31Z","board_verified":true,"closed_at":null,"days_open":823,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":823},"description":"Quick answer: what is this job?\nPALO IT is hiring a Data Architect in CDMX to design, evolve, and optimize data architecture for innovative, scalable, and secure solutions. The role sits in a technology consultancy of 450+ experts across 10 countries, requiring strong expertise in data architecture and integration.\nWho We Are\nBuilding the AI-first frontier enterprise.\nWe are a global technology consultancy with a trademarked, AI-first approach Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.\nWe are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities).\n\nWe are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.\n\nWe are robust and resilient (100% independent, 0 debt, founded 2009).\n\nWe are AI-native professionals who invest in what we believe and work as a collective intelligence.\n\nWe are positive, courageous and deliver at the leading edge.\n\nWhat does a Data Architect do at PALO IT?\nAs a Data Architect at PALO IT, you will play a crucial role in shaping data strategy and architecture, carrying the following responsibilities:\nStrategy & Architecture: Define and document the organization’s data architecture aligned with business and IT strategy. Design enterprise data models and assess data technologies based on evolving business needs.\n\nGovernance, Privacy & Quality: Implement policies for data governance, ensuring compliance with data regulations and facilitating the adoption of metadata management tools.\n\nData Integration & Design: Architect solutions for data integration, ensuring interoperability across domains and delivering a comprehensive data view.\n\nCollaboration & Leadership: Act as a technical reference for teams, promoting best practices and translating business needs into scalable data solutions.\n\nWhat experience do you need for this role?\nYou're a strong fit for this Data Architect role if you have:\nRequired Experience\nEducation: Bachelor’s degree in Mechatronics Engineering, Applied Mathematics, Software Engineering, Computer Science, or related fields. Preferred certifications: Microsoft Certified, Azure Data Engineer Associate, or relevant cloud and data architecture certifications.\n\nProfessional Experience:\n10+ years of experience in data engineering.\n\n3+ years designing cloud-based data architectures (Azure, AWS, or GCP).\n\n2+ years in data architecture, enterprise data modeling, or data governance.\n\nLed data model design for various architectures (Data Warehouse, Data Lake, etc.).\n\nIn-depth knowledge of data governance frameworks, including compliance and quality.\n\nTechnical Expertise\nData Modeling: Proficiency in conceptual, logical, and physical modeling.\n\nArchitectures: Experience with Data Warehouse, Data Lake, and Data Mesh.\n\nGovernance: Familiarity with data lineage, quality, and metadata management.\n\nPlatforms: Azure Synapse, Purview, Unity Catalog, Cosmos DB.\n\nLanguages & Tools: SQL, Python, JSON, Java, Scala.\n\nInfrastructure as Code (IaC): Terraform, Azure DevOps.\n\nLeadership & Soft Skills\nSystemic thinking and ability to manage complexity.\n\nExcellent cross-functional communication skills.\n\nTechnical leadership and a strong focus on scalability and reuse.\n\nAI-Native Engineering (Core Expectation)\nUtilize Generative AI coding tools for tasks like code scaffolding and documentation generation.\n\nApply best practices for reliable engineering outcomes and validate outputs.\n\nMore About PALO IT\nOur clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses, and frontier partners, helping them scale AI and solve complex technology challenges.\nWhat We Offer\nStimulating working environments\n\nUnique career path\n\nInternational mobility\n\nOpportunities for internal R&D projects and personalized training via PALO IT Academy\n\nA culture of entrepreneurship & intrapreneurship\n\nFor more on our team culture and benefits, check out our careers page.\nDiversity, Equity and Inclusion\nAs a B Corp, PALO IT provides equal opportunities and assesses candidates solely on skills, potential, and motivation. 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