{"id":2767668,"url":"https://alion.io/job/ltm-data-solution-architect-2","title":"Data Solution Architect","company":{"id":9353,"name":"LTM","domain":"ltm.com","url":"https://alion.io/company/ltm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":81,"open_postings":163,"ghost_share":0,"stale_share":0.773,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-18T03:38:25Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":82},"description":"Data Solution Architect\nParis, France, Munich, Germany, Krakow or Warsaw, Poland or remote in Poland\n6 Months contract with possible extension(Sub-Con or B2B Contract)\nÂ\nResponsibilities\nLead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric.The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL.Design and implement solutions on Microsoft Fabric including Fabric Pipeline Lakehouse Warehouse and RealTime Analytics EventHouse.Knowledge on Migrate existing workloads eg Synapse Databricks Data Mart into Fabric.Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions.Oversee the end to end implementation of data solutions ensuring alignment with business requirements and best practices.Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools.Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems.Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement.Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards.Ensure best practices are followed in terms of code quality data security and scalability.Stay updated with the latest developments in Databricks and associated technologies to drive innovation.Â\nEssential Skills\nStrong experience with Azure Databricks including cluster management notebook development and Delta Lake\nProficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark\nDeep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory\nExperience with ETLELT processes data warehousing and building data lakes\nStrong SQL skills and familiarity with NoSQL databases\nExperience with CICD pipelines and version control systems like Git\nKnowledge of cloud security best practices\nÂ\nSoft Skills\nExcellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders\nStrong problem solving skills and a proactive approach to identifying and resolving issues\nLeadership skills with the ability to manage and mentor a team of data engineers\nÂ\nNice to have Skills\nPower BI for dashboarding and reporting\nMicrosoft Fabric for analytics and integration tasks\nSpark Streaming for processing realtime data streams\nFamiliarity with Azure Resource Manager ARM templates for infrastructure as code IaC practices\nÂ\nExperience\nDemonstrated expertise of 8+ years in developing data ingestion and transformation pipelines using Databricks, Synapse notebooks and Azure Data FactorySolid understanding and hands on experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2.Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation.Proficiency in building and optimizing query layers using Databricks SQL.Demonstrated experience integrating Databricks with Azure Synapse ADLS Gen2 and Power BI for end to end analytics solutions.Prior experience in developing optimizing and deploying Power BI reports.Familiarity with modern CICD practices especially in the context of Databricks and cloud native solutions.","description_format":"text","description_chars":3503,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Creative Agencies","Branding","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-10-17T04:37:03Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long 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