{"schemaVersion":"jobsearcher.job.v1","id":"faaff714f1be446830fb9f90","url":"https://jobsearcher.com/jobs/faaff714f1be446830fb9f90","canonicalUrl":"https://jobsearcher.com/jobs/faaff714f1be446830fb9f90","title":"Data Architect/Modeler-Dallas TX( Richardson TX office) (Remote)- Need Local","description":"Client -Freeman,C2C - Get me good profiles with competitive rates.Data Architect/ModelerDallas TX( Richardson TX office) (Remote)Need Localssubmit on c2c@maintec.comQualifications:15+ years of experience in Data Architecture and Data Modeling and should have excellent communication and leadership skillsShould have in depth understanding or executed new concepts like Data Lakehouse and should have worked on data sources such as SAP and SalesforceShould have done Data Modeling for Fortune 100 organizations and databases atleast 10 TB in sizeShould have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments (any cloud is ok)Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin R1, Sybase Power Designer, DBSchema, ER/Studio, Toad Data Modeler, etc)Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Athena, Redshift, Snowflake, Synapse Analytics, Azure SQL and on prem databases such as Oracle, SQL Server and DB2Should have led Data Model workshops with business and technology stakeholdersShould have written complex SQL queries for data analysis, generated, deployed and altered DDLShould have implemented Bill Inmon and Ralph Kimball methodologies to design data warehousesShould have worked atleast 4 projects using Agile/SAFe methodologyShould have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy and Data GovernanceShould have cross global location experience and been part of a team of atleast 20+ members in a global delivery modelShould have knowledge on Microservices & Service Oriented ArchitectureShould have experience in gathering business requirements by collaborating with business users, stakeholders and SMEsShould have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team on a daily basis to analyze requirements, design, development and deployment technical solutions Responsibilities:Participate in JAD, workshops and/or business requirements sessions to understand, capture and detail data modeling requirementsAnalyze client landscape and architectures to find the best data sources needed for the business requirementsDetermine appropriate data architecture suitable for the business requirementsPerform detailed data analysis on source data, profile data, identify data cardinality, granularity and data quality issuesDefine enterprise abbreviation and data modeling naming standardsDesign data quality and cleansing rules based on profiling results to increase quality of dataCreate data flow architecture across multiple zones (raw, refined, curated, BI zones)Design conceptual, logical and physical data models across all data zones based on business needsCreate Data Dictionary & DDLs for the created Data ModelCreate normalized and/or denormalized structures to manage usability and performanceDesign source to target mapping documents with transformation rules to ingest data from source tables to target environment across all the data zonesCreate security document to assign database access to users accordinglyDesign partitioning and CDC strategy across various subject areas and data zones based on business needsWork with business, ETL and BI teams to identify and design data models for KPIsDesign test cases for data modeling requirementsCreate and deliver Data Model (Conceptual, logical & 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Dictionary, Data Mapping, Data Policy and Data GovernanceShould have cross global location experience and been part of a team of atleast 20+ members in a global delivery modelShould have knowledge on Microservices & Service Oriented ArchitectureShould have experience in gathering business requirements by collaborating with business users, stakeholders and SMEsShould have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team on a daily basis to analyze requirements, design, development and deployment technical solutions Responsibilities:Participate in JAD, workshops and/or business requirements sessions to understand, capture and detail data modeling requirementsAnalyze client landscape and architectures to find the best data sources needed for the business requirementsDetermine appropriate data architecture suitable for the business requirementsPerform detailed data analysis on source data, profile data, identify data cardinality, granularity and data quality issuesDefine enterprise abbreviation and data modeling naming standardsDesign data quality and cleansing rules based on profiling results to increase quality of dataCreate data flow architecture across multiple zones (raw, refined, curated, BI zones)Design conceptual, logical and physical data models across all data zones based on business needsCreate Data Dictionary & DDLs for the created Data ModelCreate normalized and/or denormalized structures to manage usability and performanceDesign source to target mapping documents with transformation rules to ingest data from source tables to target environment across all the data zonesCreate security document to assign database access to users accordinglyDesign partitioning and CDC strategy across various subject areas and data zones based on business needsWork with business, ETL and BI teams to identify and design data models for KPIsDesign test cases for data 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