{"id":2434001,"url":"https://alion.io/job/matchatalent-senior-data-engineer-cloud-data-platform-data-architecture-6","title":"Senior Data Engineer (Cloud Data Platform & Data Architecture)","company":{"id":4428485,"name":"Matcha Talent","domain":"matchatalent.com","url":"https://alion.io/company/matchatalent","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Osaka, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":96000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-13T10:07:48Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T14:02:48Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This role requires the candidate to work on-site in Tokyo, Japan.\n\nClient Overview\nOur client is a global technology solutions provider specializing in Artificial Intelligence (AI), Cloud Computing, Data Engineering, and Digital Transformation (DX). The organization partners with enterprise clients across multiple industries to design, modernize, and optimize large-scale cloud data platforms that support advanced analytics, AI initiatives, and business intelligence.\nAs demand for enterprise data modernization continues to grow, the company is expanding its Data Engineering practice to deliver next-generation cloud data architectures, scalable analytics platforms, and AI-ready data ecosystems using leading cloud technologies and modern data platforms.\n\nJob Role\nThe Senior Data Engineer will serve as a technical leader responsible for designing, building, and optimizing enterprise-scale cloud data platforms. Working closely with solution architects, data scientists, cloud engineers, and project stakeholders, this role will lead the development of scalable data infrastructure that enables advanced analytics, machine learning, and AI-driven business solutions.\nThe position offers the opportunity to lead cloud migration initiatives, evaluate emerging technologies, and mentor engineering teams while helping enterprise clients accelerate their digital transformation journey.\n\nKey Responsibilities\nDesign and implement scalable cloud-based data platforms using AWS, Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake.\n\nLead enterprise data platform architecture, data warehouse (DWH), and data lake implementation projects.\n\nDesign, develop, and optimize large-scale distributed data processing pipelines using Spark, Python, and modern ETL frameworks.\n\nLead cloud migration initiatives from on-premises environments to cloud-native data platforms.\n\nEvaluate emerging technologies, conduct Proof of Concept (PoC) activities, and recommend optimal technical solutions.\n\nDevelop and maintain robust data models that support analytics, business intelligence, and AI workloads.\n\nCollaborate with cross-functional teams to ensure data quality, security, governance, and platform reliability.\n\nMentor junior engineers and provide technical leadership throughout the project lifecycle.\n\nCandidate Requirements\nBachelor's degree or above in Computer Science, Information Technology, Software Engineering, Data Engineering, or a related discipline.\n\nMinimum 3 years of practical experience in Data Engineering or related fields.\n\nProven experience designing and building cloud-based data infrastructure using AWS, Microsoft Azure, or Google Cloud Platform (GCP).\n\nStrong experience developing large-scale distributed data processing pipelines using Spark and Python.\n\nSolid understanding of data modeling, ETL development, and enterprise data architecture.\n\nExperience with Databricks or Snowflake is highly preferred.\n\nKnowledge of data governance, data quality, metadata management, and cloud security best practices is an advantage.\n\nCloud certifications (AWS, Azure, GCP, Snowflake, or Databricks) are highly desirable.\n\nExperience using AI or Generative AI to improve software development or engineering workflows is a plus.\n\nStrong analytical thinking, technical leadership, and problem-solving capabilities.\n\nProfessional English communication skills are preferred.\n\nCandidates eligible for relocation and visa sponsorship are encouraged to apply.","description_format":"text","description_chars":3481,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate 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