{"id":2179692,"url":"https://alion.io/job/spyrosoft-data-architect-with-german","title":"Data Architect (with German)","company":{"id":933,"name":"Spyrosoft","domain":"spyro-soft.com","url":"https://alion.io/company/spyrosoft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":80,"open_postings":45,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"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":["Wrocław, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":117000,"period":"year","method":"role_seniority_country_cell","sample_n":23},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"IAM","optional":false},{"name":"ITIL","optional":false},{"name":"Jira","optional":false},{"name":"Microsoft Teams","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-09T13:31:12Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T01:12:18Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Core Tech Stack:\nAWS, Amazon EMR, S3, Glue, Athena, Redshift, Lake Formation, Kinesis, Hadoop, Apache Spark, Apache Airflow, ETL/ELT, Data Lakes, Data Governance, Data Modeling, CI/CD, Agile/Scrum, Jira, Confluence\nRequired Qualifications:\n5+ years of experience as a Data Architect / Data Platform Architect\n\nStrong experience designing enterprise-scale data platforms and data architectures\n\nStrong knowledge of AWS data services and cloud architecture\n\nExtensive experience with AWS Data Lake and Amazon EMR\n\nStrong background in Hadoop and Apache Spark\n\nExperience with Apache Airflow and workflow orchestration\n\nStrong understanding of ETL/ELT patterns and modern data pipelines\n\nExperience designing batch and/or streaming data architectures\n\nExtensive experience in Data Migration, Data Integration and system integration\n\nStrong knowledge of Data Governance, Data Quality, Metadata Management and Data Lineage\n\nStrong understanding of Data Security, IAM, encryption and access-control concepts\n\nExperience with data modelling and designing data flows across distributed systems\n\nUnderstanding of relational, NoSQL and analytical data storage concepts\n\nExperience designing solutions for scalability, high availability, performance and resilience\n\nExperience with CI/CD and infrastructure/data pipeline automation\n\nAbility to define architecture principles, standards, patterns and technical documentation\n\nExperience working in Agile/Scrum environments\n\nPractical experience with Jira, Confluence and Microsoft Teams\n\nStrong stakeholder-management and communication skills\n\nAbility to work effectively with both technical teams and business stakeholders\n\nAWS Data Analytics certification\n\nITIL Foundation certification\n\nAt least four relevant project references within the last 8 years for each major capability area\n\nVery good command of English\n\nGerman language skills (ideally C1/C2 or native level) will be a strong advantage. Candidates without German are also welcome to apply if they have a strong technical fit.\n\nNice to Have:\nExperienced in using AI tools in day-to-day workflow\n\nExperience with additional AWS data services such as S3, Glue, Athena, Redshift, Lake Formation or Kinesis.\n\nKnowledge of modern Lakehouse architectures.\n\nExperience with event-driven and real-time data architectures.\n\nFamiliarity with Data Mesh and Data Fabric concepts.\n\nExperience working in large-scale international or regulated enterprise environments.\n\nKnowledge of enterprise architecture frameworks and architecture governance processes.\n\nProject Description:\nWe are looking for an experienced Data Architect / Data Platform Architect to join a complex enterprise environment and take responsibility for designing scalable, secure, and well-governed data platforms.\nThe role combines hands-on data architecture expertise, AWS cloud technologies, data governance, migration and integration, as well as close collaboration with both technical and business stakeholders. We are seeking someone who can operate beyond individual data pipelines or engineering tasks, taking ownership of architectural decisions, challenging requirements, defining target-state solutions, and guiding engineering teams through implementation.\nThe ideal candidate combines strong technical expertise with an enterprise architecture mindset and is confident communicating complex architectural decisions to both technical and non-technical audiences.\nPlease note: This is a full-time freelance project engagement with an initial contract duration of 1 year.\nScope of Services:\nDesign and evolve enterprise data architecture and cloud-based data platforms.\n\nDefine architecture for Data Lakes, data processing and analytics solutions on AWS.\n\nDesign scalable data ingestion, transformation, integration and processing pipelines.\n\nDefine architectural standards, patterns and best practices for data platforms.\n\nDesign and oversee data migration and system integration strategies.\n\nEnsure appropriate Data Governance, Data Quality, Data Security and access-control standards.\n\nDefine data models, data flows, interfaces and integration patterns across complex environments.\n\nSupport architectural decisions regarding batch and real-time data processing.\n\nWork with engineering teams on Hadoop, Spark, Airflow and AWS-based solutions.\n\nDrive automation and support CI/CD practices for data platforms and pipelines.\n\nEnsure solutions meet requirements related to scalability, performance, reliability, security and maintainability.\n\nCollaborate with Data Engineers, Cloud Architects, Security teams, Product Owners and business stakeholders.\n\nTranslate business and technical requirements into target architecture and implementation roadmaps.\n\nConduct architecture reviews and provide technical guidance to delivery teams.\n\nCreate and maintain architecture documentation, data flows, standards and technical specifications.\n\nSupport Agile/Scrum 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