{"id":3637616,"url":"https://alion.io/job/avenga-senior-data-engineer-8","title":"Senior Data Engineer","company":{"id":181252,"name":"Avenga","domain":"avenga.com","url":"https://alion.io/company/avenga","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":76,"open_postings":28,"ghost_share":0,"stale_share":0.964,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Function Calling","optional":false},{"name":"Least Privilege","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-02T19:22:39Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T18:42:36Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets. \nAt the core of the role\nIn CABA, we are actively seeking a Senior Data Engineer / Data Platform Architect to strengthen our team focused on modern data platforms, AI enablement, and secure data access architectures within the financial services sector. Your primary responsibility will involve designing scalable and governed data access frameworks that support applications, APIs, AI agents, and emerging AI-powered solutions while ensuring security, traceability, and compliance with enterprise standards.\nIn this role, you'll become a vital member of a multidisciplinary team working closely with Architecture, Security, Governance, Development, and AI specialists. The team is responsible for building reusable data products, enabling AI adoption, implementing secure access patterns, and driving the evolution of enterprise data platforms based on modern cloud and Databricks technologies.\nThis position requires working onsite at the client's office in CABA (Buenos Aires) 3 times per week.\nCore skills you’ll bring\nBachelor's degree in Engineering, Information Technology, Computer Science, Systems Engineering, or a related field.\n\nAt least 5 years of experience in data platform architecture, data engineering, or distributed services integration.\n\nStrong hands-on experience with Databricks and Unity Catalog.\n\nExperience designing and implementing APIs and services using OAuth2, OIDC, JWT, and service-oriented architecture principles.\n\nPractical knowledge of Generative AI architectures, AI agents, LLMs, tool/function calling, and MCP protocols.\n\nStrong understanding of data architecture, systems integration, security, and AI-driven solutions.\n\nAPI-first mindset with experience designing reusable data products and services.\n\nDeep understanding of security, governance, traceability, and least-privilege access principles.\n\nAbility to translate business requirements into scalable technical solutions and reusable capabilities.\n\nStrong communication skills and experience collaborating across cross-functional teams.\n\nNice-to-have\nExperience with AI services within the Databricks ecosystem.\n\nExperience in API management and enterprise data governance initiatives.\n\nBackground in banking, financial services, or other highly regulated industries.\n\nExperience implementing data masking, auditing, and governance controls.\n\nKnowledge of modern cloud-native architectures and AI platform integrations.\n\nThe impact you'll create\nDesign secure and scalable data access architectures for applications, APIs, AI agents, and MCP-based solutions.\n\nDefine reusable access patterns leveraging Data Services, APIs, SQL, functions, and MCP frameworks.\n\nImplement robust authentication and authorization mechanisms while preserving user identity, context, and permissions.\n\nIntegrate data access models with Unity Catalog, governance policies, data masking, and security controls.\n\nDesign and maintain Data Products and Data Services with clear contracts, ownership, and versioning strategies.\n\nImplement traceability and auditing capabilities for users, services, AI agents, and accessed resources.\n\nDefine secure architectural patterns that enable AI solutions to consume corporate information safely and efficiently.\n\nIntegrate Databricks platforms with AI models, agents, APIs, and internal or external systems.\n\nDevelop reusable components and frameworks that accelerate AI and data-driven initiatives across the organization.\n\nCollaborate with Architecture, Security, and Governance teams to establish enterprise Data-to-AI standards and best practices.\n\nPeople are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. 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