{"id":965001,"url":"https://alion.io/job/lingaro-gcp-data-architect-freelance","title":"GCP Data Architect - freelance","company":{"id":53383,"name":"Lingaro","domain":"lingarogroup.com","url":"https://alion.io/company/lingaro","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":84,"open_postings":24,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"freelance","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":127000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Alteryx","optional":false},{"name":"Azure","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-09-16T13:12:50Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-11-09T00:24:30Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Growth through diversity, equity, and inclusion. As an ethical business, we do what is right - including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.\nTasks\nCollaborate with stakeholders to understand business requirements and translate them into data engineering solutions.\nDesign and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices.\nDefine data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity.\nSelect and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis.\nEnsure that data engineering solutions align with the organization's long-term data strategy and goals.\nEvaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures.\nCollaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting.\nProvide technical guidance and expertise to data engineering teams, promoting best practices, and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise.\nOversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications.\nStay updated with emerging trends and technologies in data engineering, recommending, and implementing innovative solutions as appropriate.\nConduct performance analysis and optimization of data engineering systems, identifying and resolving bottlenecks and inefficiencies.\nEnsure data quality and integrity throughout the data engineering processes, implementing appropriate validation and monitoring mechanisms.\nCollaborate with cross-functional teams to integrate data engineering solutions with other systems and applications.\nParticipate in project planning and estimation, providing technical insights and recommendations.\nDocument data architecture, infrastructure, and design decisions, ensuring clear and up-to-date documentation for implementation, reference, and knowledge sharing.\nRequirements\nWhat We're looking for:\nAt least 6 years of experience as Data Architect, including min. 4 years of experience working with GCP cloud-based infrastructure & systems.\nDeep knowledge of Google Cloud Platform and cloud computing services.\nStrong experience in the Data & Analytics area.\nStrong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance.\nExpertise in designing and implementing scalable and efficient data processing frameworks.\nIn-depth knowledge of various data technologies and tools, such as columnar databases, relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks.\nKnowledge of modern data transformation tools (such as DBT, Dataform).\nKnowledge of at least one orchestration and scheduling tool.\nProgramming skills (SQL, Python, other scripting).\nTools knowledge: Git, Jira, Confluence, etc.\nExperience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy.\nAbility to work closely with stakeholders to understand business needs and translate them into data engineering solutions.\nStrong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges.\nKnowledge of data governance principles and best practices, including data privacy and security regulations.\nExcellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.\nExperience in leading and mentoring data engineering teams, providing guidance and technical expertise.\nFamiliarity with agile methodologies and experience in working in agile development environments.\nContinuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.\nStrong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines.\nStrong understanding of distributed computing principles, including parallel processing, data partitioning, and fault-tolerance.\nWhat Will Set You Apart:\nCertifications in big data technologies or/and cloud platforms.\nExperience with BI solutions (e.g. Looker, Power BI, Tableau).\nExperience with ETL tools: e.g. Talend, Alteryx\nExperience with Apache Spark, especially in GCP environment.\nExperience with Databricks.\nExperience with Azure cloud-based infrastructure & systems.\nMissing one or two of these qualifications? We still want to hear from you! 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Docs: https://alion.io/developers"}}