{"id":1912500,"url":"https://alion.io/job/trafigura-data-architect","title":"Data Architect","company":{"id":1852297,"name":"Trafigura","domain":"trafigura.com","url":"https://alion.io/company/trafigura","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"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":"structured","locations":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":137000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":631},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Alation","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"Collibra","optional":true},{"name":"Data Vault","optional":true},{"name":"Delta Lake","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Power BI","optional":true},{"name":"Snowflake","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-08-12T00:00:00Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-11T19:39:15Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":60},"description":"ABOUT THE ROLE\nWe are looking for a seasoned Data Architect to own the data architecture and product delivery strategy for our retail and downstream business. Operating at the intersection of local business insight and global IT strategy, you will design scalable, well-governed data platforms that translate commercial needs into robust, business-ready data products.\nYou will work closely with both business and IT stakeholders bridging local operational context with the global data landscape and remain accountable for the architectural quality, reliability, and business relevance of every data product you deliver.\nTECHNOLOGY STACK\nMust-have: Databricks (Lakehouse, Unity Catalog, Delta Live Tables), AWS (S3, Glue, Redshift, Lake Formation), Azure (ADLS, Synapse, ADF, Purview), Apache Airflow, Apache Kafka, dbt, SQL and Python.\nNice to have: Snowflake and other modern data platform and orchestration tooling\nWHAT YOU WILL DO\nDesign and own end-to-end data architecture for retail and downstream data products from ingestion to consumption layer.\nDefine data modeling standards, platform patterns, and architectural principles across the data ecosystem.\nLead the design and delivery of data products, ensuring they are reusable, well-documented, and fit for business consumption.\nTranslate local business requirements into architecture decisions aligned with the global IT strategy and data governance framework.\nAct as the technical bridge between business stakeholders and global IT, ensuring local context is reflected in platform design.\nDrive data quality, lineage, and cataloguing practices across the full data landscape.\nEvaluate and recommend new data technologies, architectural patterns, and tooling approaches.\nMentor and guide data engineers and analysts, setting architectural guardrails and best practices.\nEngage with global data and IT teams to align on standards, tooling roadmap, and delivery priorities.\nMUST-HAVE REQUIREMENTS\n10+ years of experience in data architecture, data engineering, or data platform roles, with at least 5 years in a senior architecture capacity.\nDeep hands-on expertise with Databricks: Lakehouse design, Delta Lake, Unity Catalog, and data pipeline orchestration.\nStrong cloud platform experience across AWS and Azure storage, computing, orchestration, and governance services.\nProven track record designing and delivering data products governed, business-ready data assets, not just pipelines.\nSolid command of data modeling techniques: dimensional modeling, Data Vault, or equivalent.\nHands-on experience with Apache Airflow, designing, deploying, and maintaining complex workflow orchestration at scale.\nHands-on experience with Apache Kafka event streaming architecture, topic design, producers/consumers, and real-time data pipeline patterns.\nSolid dbt experience data transformation layer design, testing frameworks, documentation practices, and integration with modern data stacks.\nStrong SQL expertise, complex query writing, performance tuning, and data modeling applied directly in analytical and operational contexts.\nPython proficiency for data management, scripting, pipeline development, data wrangling, and automation across the data stack.\nExperience working across global and local IT structures, navigating enterprise standards while addressing regional business needs.\nStrong stakeholder engagement skills, able to communicate architectural decisions clearly to both technical peers and business leaders.\nDemonstrated delivery in complex, multi-stakeholder environments with measurable, business-oriented outcomes.\nNICE TO HAVE\nHands-on Snowflake experience: data sharing, warehousing patterns, or hybrid Snowflake/Databricks architectures.\nFamiliarity with data mesh principles and domain-oriented data product ownership models.\nKnowledge of data governance frameworks and cataloguing tools (e.g., Azure Purview, Collibra, Alation).\nExperience in retail, trading, energy, or commodity-intensive industries.\nBackground in BI/analytics layer delivery (Power BI, Qlik, Tableau) and the data architecture that supports 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