[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-lakehouse-architecture-global":3,"job-search-\u002Fde\u002Fjobs-by-expertise\u002Flakehouse-architecture":4,"expertise-filters-\u002Fde\u002Fjobs-by-expertise\u002Flakehouse-architecture":307,"featured-jobs-\u002Fde\u002Fjobs-by-expertise\u002Flakehouse-architecture":448},{},{"total":5,"jobs":6},8,[7,70,120,155,206,232,266,290],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":17,"processed_home_office":18,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":23,"processed_employment_types":25,"processed_it_skills":26,"processed_it_skills_labels":30,"processed_job_expertise_skills":43,"processed_job_expertise_skills_labels":44,"max_cpc":69,"actual_cpc":69},80337,"senior-data-engineer-con-ii-allstate-insurance-co","Senior Data Engineer Con II",null,false,{"name":14,"slug":15,"logo_url":11},"Allstate Insurance Co.","allstate-insurance-co",[],[],"hybrid",90700,153925,"USD","estimated",[24],"FULL_TIME","permanent",{"sql":27,"azure":28,"ci\u002Fcd":29,"kafka":28,"python":27,"onelake":29,"databricks":28,"apache spark":27,"delta\u002Fparquet":29,"event streams":28,"microsoft fabric":29,"infrastructure as code (iac)":29},4,2,3,[31,32,33,34,35,36,37,38,39,40,41,42],"Apache Spark","Python","SQL","Microsoft Fabric","OneLake","Delta\u002FParquet","CI\u002FCD","Infrastructure as Code (IaC)","Kafka","Event Streams","Azure","Databricks",{"etl\u002Felt":27,"kimball":28,"devsecops":29,"data vault":28,"scalability":27,"data lineage":29,"data quality":29,"data modeling":27,"generative ai":28,"agile delivery":29,"data governance":29,"fault tolerance":27,"data engineering":27,"data integration":27,"data reliability":27,"machine learning":28,"data observability":29,"performance tuning":27,"metadata management":29,"dimensional modeling":27,"distributed computing":27,"lakehouse architecture":27,"master data management":28,"medallion architecture":27},[45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68],"Data Engineering","Dimensional Modeling","Lakehouse Architecture","Medallion Architecture","ETL\u002FELT","Data Integration","Data Governance","Data Quality","Data Observability","Distributed Computing","Performance Tuning","Scalability","Fault Tolerance","Data Reliability","Agile Delivery","DevSecOps","Data Modeling","Data Lineage","Metadata Management","Master Data Management","Data Vault","Kimball","Machine Learning","Generative AI",1,{"id":71,"slug":72,"title":73,"raw_title":11,"is_featured":12,"company":74,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":78,"processed_country_iso_code_gmaps":80,"processed_home_office":18,"processed_salary_min":82,"processed_salary_max":83,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":84,"processed_employment_types":25,"processed_it_skills":85,"processed_it_skills_labels":86,"processed_job_expertise_skills":108,"processed_job_expertise_skills_labels":109,"max_cpc":69,"actual_cpc":69},70878,"data-engineer-principal3003-allianz-insurance","Data Engineer Principal_3003",{"name":75,"slug":76,"logo_url":77},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[79],"Minneapolis",[81],"US",110000,150000,[24],{"arm":29,"sql":27,"kafka":28,"docker":29,"python":27,"kinesis":28,"pyspark":27,"tableau":28,"power bi":29,"dynatrace":28,"event hub":28,"spark sql":27,"terraform":29,"delta lake":27,"apache spark":27,"azure devops":29,"azure purview":28,"unity catalog":29,"github actions":29,"azure databricks":27,"delta live tables":29,"oracle goldengate":29,"azure analysis services":29,"azure synapse analytics":27,"azure data lake storage gen2":27},[87,88,89,90,91,92,31,93,94,32,33,95,96,97,98,99,100,101,102,103,104,39,105,106,107],"Azure Synapse Analytics","Azure Data Lake Storage Gen2","Delta Lake","Oracle GoldenGate","Azure Analysis Services","Power BI","PySpark","Spark SQL","Azure Databricks","Delta Live Tables","Unity Catalog","Azure DevOps","GitHub Actions","Terraform","ARM","Docker","Azure Purview","Event Hub","Kinesis","Dynatrace","Tableau",{"ci\u002Fcd":29,"etl\u002Felt":27,"data modeling":27,"reconciliation":27,"data governance":27,"audit frameworks":27,"containerization":29,"data engineering":27,"automated testing":29,"data architecture":27,"change data capture":27,"infrastructure as code":29,"lakehouse architecture":27,"medallion architecture":27,"data platform migration":27,"data quality management":27,"slowly changing dimensions":27},[45,110,111,61,49,51,112,113,114,48,47,37,115,116,117,118,119],"Data Platform Migration","Data Architecture","Change Data Capture","Slowly Changing Dimensions","Data Quality Management","Infrastructure as Code","Automated Testing","Containerization","Reconciliation","Audit Frameworks",{"id":121,"slug":122,"title":123,"raw_title":11,"is_featured":12,"company":124,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":127,"processed_country_iso_code_gmaps":129,"processed_home_office":18,"processed_salary_min":131,"processed_salary_max":132,"processed_salary_currency":133,"processed_salary_source":22,"processed_working_hours":134,"processed_employment_types":25,"processed_it_skills":135,"processed_it_skills_labels":136,"processed_job_expertise_skills":141,"processed_job_expertise_skills_labels":142,"max_cpc":69,"actual_cpc":69},75107,"senior-data-platform-administrator-refinitiv-india-shared-services-private-limited","Senior Data Platform Administrator",{"name":125,"slug":126,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[128],"Bengaluru",[130],"IN",2000000,3500000,"INR",[24],{"sql":29,"azure":27,"ci\u002Fcd":29,"gitlab":29,"python":29,"power bi":28,"dataverse":28,"terraform":27,"databricks":27,"delta lake":29,"apache spark":27,"unity catalog":29,"github actions":29,"azure data lake":29,"shell scripting":29},[42,41,31,32,33,137,100,37,99,138,92,139,140,97,89],"Shell scripting","GitLab","Dataverse","Azure Data Lake",{"observability":29,"capacity planning":29,"cost optimization":29,"disaster recovery":29,"high availability":29,"incident management":29,"root cause analysis":29,"distributed computing":27,"lakehouse architecture":29,"cloud platform management":27,"compliance and governance":29,"big data platform administration":27,"site reliability engineering (sre)":29,"security controls (rbac, audit logging)":29},[143,144,54,47,145,146,147,148,149,150,151,152,153,154],"Big Data Platform Administration","Cloud Platform Management","Security Controls (RBAC, Audit Logging)","Compliance and Governance","Site Reliability Engineering (SRE)","Observability","Disaster Recovery","High Availability","Capacity Planning","Cost Optimization","Incident Management","Root Cause Analysis",{"id":156,"slug":157,"title":158,"raw_title":11,"is_featured":12,"company":159,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":162,"processed_country_iso_code_gmaps":163,"processed_home_office":165,"processed_salary_min":166,"processed_salary_max":167,"processed_salary_currency":168,"processed_salary_source":22,"processed_working_hours":169,"processed_employment_types":25,"processed_it_skills":170,"processed_it_skills_labels":171,"processed_job_expertise_skills":189,"processed_job_expertise_skills_labels":190,"max_cpc":69,"actual_cpc":69},62344,"data-engineer-vp-ocbc-bank","Data Engineer (VP)",{"name":160,"slug":161,"logo_url":11},"OCBC Bank","ocbc-bank",[],[164],"SG","onsite",120000,180000,"SGD",[24],{"aws":27,"dbt":29,"git":29,"sql":27,"ci\u002Fcd":29,"kafka":29,"docker":29,"hadoop":29,"python":27,"airflow":29,"dagster":29,"kinesis":29,"pyspark":27,"pinecone":28,"power bi":29,"weaviate":28,"langchain":28,"sagemaker":28,"terraform":28,"databricks":29,"kubernetes":29,"opensearch":28,"apache spark":27,"amazon bedrock":28,"apache iceberg":27,"cloudformation":28,"data virtualization":29,"unix\u002Flinux shell scripting":29},[33,31,93,32,172,173,174,175,176,37,177,178,39,105,179,180,92,102,181,182,183,42,184,185,186,187,100,188],"Apache Iceberg","dbt","Airflow","Dagster","Git","Unix\u002FLinux shell scripting","AWS","Hadoop","Data Virtualization","Kubernetes","Amazon Bedrock","SageMaker","OpenSearch","LangChain","Pinecone","Weaviate","CloudFormation",{"mlops":29,"banking":29,"dataops":27,"data mesh":28,"data lineage":27,"ai governance":28,"data products":28,"generative ai":29,"vector search":29,"responsible ai":28,"data governance":27,"data engineering":27,"machine learning":29,"data observability":27,"financial services":29,"distributed systems":29,"feature engineering":29,"metadata management":27,"lakehouse architecture":27,"cloud-native architecture":27,"data platform architecture":27,"large language models (llms)":28,"retrieval-augmented generation (rag)":29},[45,191,192,47,51,62,63,53,193,194,67,68,195,196,197,198,199,200,201,202,203,204,205],"Data Platform Architecture","Cloud-native Architecture","DataOps","MLOps","Retrieval-Augmented Generation (RAG)","Feature Engineering","Vector Search","Data Mesh","Data Products","Distributed Systems","Large Language Models (LLMs)","Responsible AI","AI Governance","Financial Services","Banking",{"id":207,"slug":208,"title":209,"raw_title":11,"is_featured":12,"company":210,"raw_hiringOrganization_logo_url":213,"processed_city_gmaps":214,"processed_country_iso_code_gmaps":216,"processed_home_office":18,"processed_salary_min":218,"processed_salary_max":219,"processed_salary_currency":220,"processed_salary_source":22,"processed_working_hours":221,"processed_employment_types":25,"processed_it_skills":222,"processed_it_skills_labels":223,"processed_job_expertise_skills":228,"processed_job_expertise_skills_labels":229,"max_cpc":69,"actual_cpc":69},44553,"cloud-data-engineer-all-genders-in-vollzeit-aktuelle-jobs-btv-vier-laender-bank-ag","Cloud Data Engineer (all genders) in Vollzeit",{"name":211,"slug":212,"logo_url":11},"Bank für Tirol und Vorarlberg Aktiengesellschaft","bank-fuer-tirol-und-vorarlberg-aktiengesellschaft","https:\u002F\u002Fwww.btv-jobs.at\u002Finc\u002Fdisplay_image.php?id=1&type=logo",[215],"Innsbruck",[217],"AT",3710.56,5000,"EUR",[24],{"sql":29,"devops":29,"python":29,"data modeling":29,"cloud security":29,"data governance":29,"microsoft azure":29,"microsoft fabric":29,"microsoft dataverse":29,"infrastructure as code":29},[224,34,225,33,32,61,226,51,227,115],"Microsoft Azure","Microsoft Dataverse","Cloud Security","DevOps",{"dataops":29,"compliance":29,"data pipelines":29,"data governance":29,"data engineering":29,"lakehouse architecture":29},[45,47,230,193,51,231],"Data Pipelines","Compliance",{"id":233,"slug":234,"title":235,"raw_title":11,"is_featured":12,"company":236,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":237,"processed_country_iso_code_gmaps":238,"processed_home_office":18,"processed_salary_min":239,"processed_salary_max":132,"processed_salary_currency":133,"processed_salary_source":22,"processed_working_hours":240,"processed_employment_types":25,"processed_it_skills":241,"processed_it_skills_labels":242,"processed_job_expertise_skills":258,"processed_job_expertise_skills_labels":259,"max_cpc":69,"actual_cpc":69},75108,"senior-enterprise-tools-engineer-refinitiv-india-shared-services-private-limited","Senior Enterprise Tools Engineer",{"name":125,"slug":126,"logo_url":11},[128],[130],2500000,[24],{"aws":27,"dbt":28,"sql":27,"delta":29,"kafka":27,"aws s3":29,"python":27,"clarity":28,"iceberg":29,"kinesis":29,"parquet":29,"aws glue":29,"planview":28,"snowpark":28,"snowflake":27,"terraform":28,"aws lambda":29,"servicenow":28,"monte carlo":28,"atlassian tools":28,"fabric notebooks":28,"microsoft fabric":27,"great expectations":28},[33,32,243,34,178,39,105,244,245,246,247,248,249,250,251,173,100,252,253,254,255,256,257],"Snowflake","Parquet","Delta","Iceberg","AWS S3","AWS Glue","AWS Lambda","Snowpark","Fabric Notebooks","Great Expectations","Monte Carlo","Atlassian tools","Clarity","Planview","ServiceNow",{"etl\u002Felt":27,"data modeling":27,"data engineering":27,"automated testing":29,"knowledge sharing":29,"performance tuning":27,"project management":29,"agile methodologies":29,"data quality practices":29,"lakehouse architecture":27,"technical documentation":29,"architectural principles":29},[45,49,61,55,47,260,261,116,262,263,264,265],"Agile Methodologies","Data Quality Practices","Technical Documentation","Knowledge Sharing","Architectural Principles","Project Management",{"id":267,"slug":268,"title":269,"raw_title":11,"is_featured":12,"company":270,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":271,"processed_country_iso_code_gmaps":272,"processed_home_office":165,"processed_salary_min":273,"processed_salary_max":82,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":274,"processed_employment_types":25,"processed_it_skills":275,"processed_it_skills_labels":276,"processed_job_expertise_skills":280,"processed_job_expertise_skills_labels":281,"max_cpc":69,"actual_cpc":69},59764,"data-platform-administrator-ind201-refinitiv-india-shared-services-private-limited-2","Data Platform Administrator",{"name":125,"slug":126,"logo_url":11},[128],[130],80000,[24],{"aws":29,"gcp":29,"sql":27,"azure":27,"ci\u002Fcd":27,"gitlab":29,"python":27,"jenkins":29,"terraform":29,"databricks":27,"delta lake":29,"apache spark":27,"azure devops":29,"unity catalog":29,"github actions":29,"shell scripting":29},[31,32,33,277,42,41,178,278,37,138,99,98,279,100,97,89],"Shell Scripting","GCP","Jenkins",{"integration":29,"audit logging":29,"job scheduling":29,"data governance":29,"troubleshooting":29,"cost optimization":29,"security standards":29,"distributed computing":27,"infrastructure as code":29,"lakehouse architecture":29,"performance monitoring":29,"cluster lifecycle management":29,"big data platform administration":27,"role-based access control (rbac)":29},[143,54,47,282,283,51,284,115,285,286,287,152,288,289],"Role-Based Access Control (RBAC)","Audit Logging","Security Standards","Cluster Lifecycle Management","Job Scheduling","Performance Monitoring","Troubleshooting","Integration",{"id":291,"slug":292,"title":269,"raw_title":11,"is_featured":12,"company":293,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":294,"processed_country_iso_code_gmaps":295,"processed_home_office":165,"processed_salary_min":296,"processed_salary_max":297,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":298,"processed_employment_types":25,"processed_it_skills":299,"processed_it_skills_labels":300,"processed_job_expertise_skills":301,"processed_job_expertise_skills_labels":302,"max_cpc":69,"actual_cpc":306},59763,"data-platform-administrator-ind201-refinitiv-india-shared-services-private-limited",{"name":125,"slug":126,"logo_url":11},[128],[130],90000,130000,[24],{"sql":27,"gitlab":29,"python":27,"jenkins":29,"power bi":28,"dataverse":28,"terraform":29,"databricks":27,"apache spark":27,"azure devops":29,"github actions":29,"azure data lake":29,"shell scripting":29},[42,31,32,33,137,138,99,98,279,100,140,92,139],{"delta lake":29,"integration":29,"audit logging":29,"unity catalog":29,"job scheduling":29,"ci\u002Fcd pipelines":27,"data governance":29,"troubleshooting":27,"cost optimization":29,"security standards":29,"distributed computing":27,"infrastructure-as-code":29,"lakehouse architecture":29,"performance optimization":27,"cluster lifecycle management":29,"big data platform administration":27,"role-based access control (rbac)":27},[143,54,282,283,51,284,303,304,285,286,288,305,152,289,97,89,47],"CI\u002FCD Pipelines","Infrastructure-as-Code","Performance Optimization",0.5,{"industry":308,"employment_type":325,"expertise_skills":328,"it_skills":384,"salary_currency":441,"processed_working_hours":446},[309,312,315,317,320,322],{"key":310,"label":311,"count":27},"financial markets infrastructure","Financial Markets Infrastructure",{"key":313,"label":314,"count":27},"data","Data",{"key":316,"label":205,"count":28},"banking",{"key":318,"label":319,"count":28},"insurance","Insurance",{"key":321,"label":204,"count":69},"financial services",{"key":323,"label":324,"count":69},"asset management","Asset Management",[326],{"key":25,"label":327,"count":5},"PERMANENT",[329,331,334,337,339,341,344,346,348,350,352,354,356,359,361,364,366,369,372,374,376,378,380,382],{"key":330,"label":47,"slug":330,"count":5},"lakehouse-architecture",{"key":332,"label":51,"slug":332,"count":333},"data-governance",6,{"key":335,"label":45,"slug":335,"count":336},"data-engineering",5,{"key":338,"label":54,"slug":338,"count":27},"distributed-computing",{"key":340,"label":152,"slug":340,"count":29},"cost-optimization",{"key":342,"label":343,"slug":342,"count":29},"etlelt","Etl\u002FElt",{"key":345,"label":61,"slug":345,"count":29},"data-modeling",{"key":347,"label":143,"slug":347,"count":29},"big-data-platform-administration",{"key":349,"label":285,"slug":349,"count":28},"cluster-lifecycle-management",{"key":351,"label":55,"slug":351,"count":28},"performance-tuning",{"key":353,"label":116,"slug":353,"count":28},"automated-testing",{"key":355,"label":62,"slug":355,"count":28},"data-lineage",{"key":357,"label":358,"slug":357,"count":28},"generative-ai","Generative Ai",{"key":360,"label":283,"slug":360,"count":28},"audit-logging",{"key":362,"label":363,"slug":362,"count":28},"role-based-access-control-rbac","Role-Based Access Control (Rbac)",{"key":365,"label":67,"slug":365,"count":28},"machine-learning",{"key":367,"label":368,"slug":367,"count":28},"infrastructure-as-code","Infrastructure As Code",{"key":370,"label":371,"slug":370,"count":28},"dataops","Dataops",{"key":373,"label":284,"slug":373,"count":28},"security-standards",{"key":375,"label":289,"slug":375,"count":28},"integration",{"key":377,"label":286,"slug":377,"count":28},"job-scheduling",{"key":379,"label":53,"slug":379,"count":28},"data-observability",{"key":381,"label":63,"slug":381,"count":28},"metadata-management",{"key":383,"label":48,"slug":383,"count":28},"medallion-architecture",[385,387,389,391,393,395,398,401,404,406,409,411,413,415,417,419,422,425,428,430,432,435,437,439],{"key":386,"label":33,"slug":386,"count":5},"sql",{"key":388,"label":32,"slug":388,"count":5},"python",{"key":390,"label":100,"slug":390,"count":333},"terraform",{"key":392,"label":31,"slug":392,"count":333},"apache-spark",{"key":394,"label":42,"slug":394,"count":336},"databricks",{"key":396,"label":397,"slug":396,"count":27},"ms-powerbi","MS PowerBI",{"key":399,"label":400,"slug":399,"count":27},"cicd","Ci\u002FCd",{"key":402,"label":403,"slug":402,"count":27},"github-actions","Github Actions",{"key":405,"label":39,"slug":405,"count":27},"kafka",{"key":407,"label":408,"slug":407,"count":27},"ms-azure","MS Azure",{"key":410,"label":89,"slug":410,"count":29},"delta-lake",{"key":412,"label":34,"slug":412,"count":29},"microsoft-fabric",{"key":414,"label":97,"slug":414,"count":29},"unity-catalog",{"key":416,"label":105,"slug":416,"count":29},"kinesis",{"key":418,"label":277,"slug":418,"count":29},"shell-scripting",{"key":420,"label":421,"slug":420,"count":29},"gitlab","Gitlab",{"key":423,"label":424,"slug":423,"count":29},"azure-devops","Azure Devops",{"key":426,"label":427,"slug":426,"count":29},"aws","Aws",{"key":429,"label":140,"slug":429,"count":28},"azure-data-lake",{"key":173,"label":431,"slug":173,"count":28},"Dbt",{"key":433,"label":434,"slug":433,"count":28},"pyspark","Pyspark",{"key":436,"label":139,"slug":436,"count":28},"dataverse",{"key":438,"label":102,"slug":438,"count":28},"docker",{"key":440,"label":279,"slug":440,"count":28},"jenkins",[442,443,444,445],{"key":21,"label":21,"count":27},{"key":133,"label":133,"count":28},{"key":220,"label":220,"count":69},{"key":168,"label":168,"count":69},[447],{"key":24,"label":24,"count":5},{"total":69,"jobs":449},[450],{"id":451,"slug":452,"title":453,"raw_title":11,"is_featured":454,"company":455,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":459,"processed_country_iso_code_gmaps":461,"processed_home_office":463,"processed_salary_min":464,"processed_salary_max":465,"processed_salary_currency":220,"processed_salary_source":11,"processed_working_hours":466,"processed_employment_types":327,"processed_it_skills":468,"processed_it_skills_labels":11,"processed_job_expertise_skills":469,"processed_job_expertise_skills_labels":470,"max_cpc":477,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":456,"slug":457,"logo_url":458},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[460],"Frankfurt am Main",[462],"DE","HYBRID",45000,65000,[467],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[471,472,473,474,475,476],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]