{"id":2567481,"url":"https://alion.io/job/aspen-view-tech-data-architect","title":"Data Architect","company":{"id":4431613,"name":"Aspen View Tech","domain":"aspenviewtech.com","url":"https://alion.io/company/aspen-view-tech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":135000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":691},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"SQL","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Teradata","optional":true}],"status":"live","first_seen_at":"2026-09-24T16:39:47Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-15T17:35:15Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Build the Future with AspenView Technology Partners\nAt AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.\nAs we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.\nWhy Join AspenView?\nAt AspenView, we’re more than a nearshore IT partner, we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients, and meaningful career paths for our people.\nAbout the Role\nAspenView is seeking a Senior Data Architect with a strong data engineering foundation to join a large-scale data modernization initiative for a financial services client. In this role, you will own the physical design and engineering of the analytical data platform, building dimensional models on Amazon Redshift and the transformation and orchestration layers that power enterprise reporting and Business Intelligence.\nYou will work within a Data Mesh operating model alongside business-focused data modelers, domain teams, and BI stakeholders, turning logical designs into performant, well-governed data products. This is a full-time position, contractor agreement, with 100% dedication to the project, based in Buenos Aires, Argentina.\nWhat You Will Do\nPhysical Dimensional Modeling: Design, implement, and evolve physical dimensional models (facts, dimensions, and aggregates) in Amazon Redshift, translating conceptual and logical designs into scalable, production-ready structures.\nRedshift Performance & Optimization: Define distribution styles, sort keys, compression, and workload management strategies, and continuously tune queries and storage to meet performance and cost targets.\nTransformation Engineering with dbt: Build and maintain modular, tested, and well-documented dbt models, establishing standards for layering, naming, testing, and version control across the transformation codebase.\nPipeline Orchestration with Airflow: Design and operate Airflow DAGs that orchestrate ingestion and transformation workflows, including dependency management, scheduling, retries, monitoring, and alerting.\nData Mesh Enablement: Help domain teams deliver discoverable, reliable, and interoperable data products, applying shared modeling conventions, data contracts, quality checks, and governance standards.\nBI Enablement & Collaboration: Write and review advanced SQL, support BI and analytics teams with performant semantic structures, and partner with architects and business modelers to align technical delivery with business requirements.\nWhat You Bring\nEducation\nBachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.\nExperience\nProven senior-level experience as a Data Architect or Data Engineer delivering enterprise analytical platforms.\nExtensive hands-on experience with Data Mesh, Data Warehousing, and Business Intelligence solutions.\nDemonstrated experience with physical dimensional modeling on Amazon Redshift.\nExperience in financial services or banking environments is a strong plus.\nTechnical Expertise\nAmazon Redshift at an expert level (L400), including design, tuning, and operation of large-scale warehouses.\ndbt at an expert level (L400), including model design, testing, documentation, and deployment practices.\nApache Airflow at an advanced level (L300+), including DAG design, orchestration patterns, and operational monitoring.\nSQL at an expert level (L400), including complex analytical queries and performance optimization.\nNice to Have\nTeradata Financial Services Industry Data Model (FSI-LDM) or Oracle Financial Services (FSI) Industry Data Models.\nBIAN (Banking Industry Architecture Network) certification.\nExperience with Control-M, Delta Live Tables (DLT), and Amazon SageMaker within a Data Mesh architecture.\n\nAdditional Requirements:\n100% dedication to the project.\nHybrid rol.\nBased in Buenos Aires, Argentina.\n\nVisa Sponsorship\nAspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future.\nEqual Opportunity Employer\nAspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. 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